SlideShare uma empresa Scribd logo
1 de 29
www.cloudcomputingchina.org
                              www.broadcom.com
Large Scale Data Centers
         大规模数据中心
         Ethernet as the Enabling Technology
         以太网技术起到了推动和促进作用

         Nick Ilyadis
         副总裁兼首席技术官
         Broadcom(博通)公司

         2010年3月

                                                                                         www.broadcom.com
Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.
Safe Harbor
This presentation may contain forward-looking statements regarding future events or the future performance of Broadcom. These
forward-looking statements may include guidance we will provide on future growth drivers in the markets in which we operate and
statements about the prospects for our various businesses. All statements that we make or incorporate by reference in the
presentation, other than statements or characterizations of historical fact, are forward-looking statements. It should be clearly
understood that these forward-looking statements, and our assumptions about the factors that influence them, are based on the
limited information available to us at this date. Such information is subject to change. We undertake no obligation to revise or
update publicly any forward-looking statement, except as required by law.

Forward-looking statements are not guarantees of future results and are subject to risks, uncertainties and assumptions that are
difficult to predict. Therefore, our actual results could differ materially and adversely from those described in the statements you
hear today as a result of various factors. We refer you to our 2008 Form 10-K, subsequent and forthcoming 10-Qs and other
filings with the SEC, which discuss some of the important risk factors that could contribute to such differences or otherwise affect
our business, results of operations and financial condition.

In addition, during the presentation we may refer to certain non-GAAP financial measures. Non-GAAP free cash flow is defined as
net cash provided from operating activities less purchases of property and equipment, net, as reported in our statements of cash
flows presented in accordance with GAAP. The non-GAAP financial information presented herein should be considered
supplemental to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. However,
Broadcom believes that non-GAAP reporting, giving effect to the adjustments shown in the reconciliations in this presentation,
provides important supplemental information to management and investors regarding financial and business trends relating to the
company's financial condition and results of operations.

© 2009 Broadcom Corporation. All rights reserved. Broadcom®, the pulse logo, Connecting everything®, and the Connecting everything
logo are among the trademarks of Broadcom Corporation and/or its affiliates in the United States, certain other countries and/or the EU. Any
other trademarks or trade names mentioned are the property of their respective owners.




                                      Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                   2
Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.   3
关于Broadcom
• 成立于1991年 Founded in 1991
• 1998年初次公开发行股票
 Initial public offering in April 1998 (NASDAQ-BRCM)
• 财富500强公司 Fortune 500 company
• 全球有线及无线通讯半导体市场的领导者
 Global leader in semiconductors for wired and
 wireless communications
• 2009年净营业额44.9亿美元
 2009 net revenue of $4.49 billion
• 2009年第四季度净营业额13.4亿美元
 Q4 2009 net revenue of $1.34 billion
• 最大的无晶圆生产半导体公司之一 One of the largest volume fabless semiconductor suppliers
• 广泛的知识产权及超过13,150个美国和国外专利及专利申请
 Broad IP portfolio with over 13,150 U.S. and foreign patents and applications
• 全球员工及临时人力7,400人(不包含实习生)
 7,400 employees and temporary workers worldwide (excluding interns)
   – 平均每位雇员为公司增值净额72.5万美元
      $725,000 Annualized net revenue per employee
   – 在亚洲拥有超过1500名雇员
      More than 1,500 employees in Asia
   – 在中国上海、北京和深圳的研发中心里共有超过300位员工
      300+ employees in China with R&D sites in Shanghai, Beijing and Shenzhen

                          通过独特创新的产品来创造新组合与应用
                    Driving convergence through unique and innovative product offerings
                                Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.   4
Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.   5
互联网数据中心Internet Data Center
                 需要以更低的功率提供更高速、更高密度和更大的存储容量
                                 Demanding Higher Speed and Density and More Storage at Lower Power

                                          互联网视频观众预测, 2006年–2012年
                                         每天观看的视频总数预测,2006年–2012年
                                     Forecast of Total Videos Viewed per Day, 2006–2012
                                         Internet Video Viewers Forecast, 2006–2012
                  1,400
                                            中国前10位的社交网站   (单位:百万)                                                                                   60%
                  1,800
                    250                                                                                                                            90%
                                                                                                                                                    35%
                                        Top 10 China Social NetworkingInternet Video ViewersIDC, 2009
                                               中国数据中心市场 2007-2013
                                     每天观看的视频总数 Total 互联网视频观众 Day
                                                        Video Viewed per
                                                                         Sites         Source:

                                     增长率 (%) China Data Center Market,Growth Rate (%)
                                             Growth Rate (%)增长率 (%) 2007–2013
                  1,200                        (Service Revenue – Dollars in Millions)                                                              30%
                  1,500                   更多运算在数据中心中运行                                                                                              50%
                                                                                                                                                   75%
每天观看的视频总数 (单位:百万)




                    200

                  1,000
                                     Market Size
                                                 “云计算”
                                     Growth Rate (%)                                                                                                25%
  视频观众 (单位:百万)




                  1,200                  More web applications running in data center                                                               40%
                                                                                                                                                   60%
                                                            “Cloud Computing”
    US$ (in millions)




                        150
                        800                                                                                                                        20%
                                          更多基于浏览器的用户设备
                                               Top 10
                                                                                                                                                    30%
                        900                                                                                                                        45%
                                                China user devices are browsers
                                                 More Social Networking Sites
                        600                                                                                                                        15%
                        100
                        在互联网数据中心运行的企业数据和应用日益增加                                                                                   20%
           600
        Corporate data and number of applications                                                                               30%
                                                                                      running in Internet data centers are growing
           400                                                                                                                                     10%

                         50
                        300                                                                                                                         10%
                                                                                                                                                   15%
                        200                                                                                                                         5%



                          0
                          0                                                                                                                         0
                                                                                                                                                   0%
                              2006
                              2007       2007
                                         2008                  2008
                                                               2009                     2009
                                                                                        2010                     2010
                                                                                                                 2011                2011
                                                                                                                                     2012   2012
                                                                                                                                            2013
                                                                 数据来源:In-Stat,2007年11月

                                            Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                        6
我们走了多远,将去向何方?
 How Far Have We Come, Where Are We Going?

          过去                                                      现在                                                            将来
   Honeywell DDP-516                                          PalmOne                                                           3G/4G
   接口信息处理机                                                      Treo                                                            设备
          1969                                                     2004                                                         2010
Interface Message Processor                                                                                                     Device




       半导体电子产品领域的创新是这些技术进步的关键驱动力
Innovation in the field of semiconductor electronics was the key to unlocking these advancements


 通过50Kbps的租用线                              通过50Kbps的GPRS链路                                                                以数Mbps速度
  连接到互联网                                     连接到互联网                                                                       连接到互联网
 Connected to Internet via                     Connected to Internet via                                               Connected to Internet via
   50 Kbps leased line                           50 Kbps GPRS link                                                          many Mbps

                              Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                               7
中国总体网络使用情况
Total Network Usage in China
                                                   Internet Users in China – 2008

                                              中国的互联网用户 – 2009




                  384 Million                                       233 Million                                  703 Million
                  (by end of 2009)                                  (by end of 2009)                             (by July 2009)




                                                                   Source: CNNIC, 1/10




                 移动互联网用户                                              互联网用户                                       移动电话用户
                 Mobile Internet Users                                Internet Users                              Mobile Phone Subscribers




                        Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                               8
智能手机销售…Smartphone Sales…
    到2013年,会达到1.23亿部,或者占整个手机销售的
    36%,这是由于丰富的产品及不断下降的价格
     … will reach 123 million units or 36% of the total handset sales in 2013,
      thanks to enriched product portfolio and falling price
        140
                  China Smart Phone Market Forecast (2008-2013F, million units)
        120
                                                                                                                               123.4
        100                                            31.1% CAGR from
                                                                                                                       103.5
                                                          2008 to 2013
         80
                                                                                         82.1
         60
                                                          61.4
         40
                             44.2
         20    31.8

          0
                2008          2009                         2010F                          2011F                        2012F   2013F
  Percent of
smart phone    16.0%        18.0%                       23.0%                          28.0%                           32.0%   36.0%
                        Note: BDA’s forecast model is based on demand driven methodology.
                              The above figures may be larger than retail tracking data.

                                                     Source: BDA, CCID – 03/2010
                              Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                   9
不断演变的计算模式:数据中心
   Evolving Computing Models: Data Center




 1960s: Big Iron Mainframes
                                                                              10K+ servers                               Uplinks: Cloud Computing Multi-chas
                                                                                                                           2000s:         100 Tbps
                                                                              10K+服务器                                   上行链路:                100Tbps多机箱
上世纪60年代:大型计算机                                                                                                                2000年:云计算
                                                                                                                         10/40GE
                                                                                                                                                        Mesh
                                                                                                                                                    网状网
                                                                                                                                                     40/100




                                                          Blade switch or
                                                       top-of-rack pizzabox                                                      Moving
                                                        刀片式交换机或                                                                  Back Aggregation
                                                                                                                                      In
                                         1990s: Decentralized Computing                                                               Switch Layer
                                                 架顶式(ToR)比萨盒服务器                                                              又向内转移
                                                                                                                                汇聚交换机层
                                       上世纪90年代:分布式计算

                   Moving Outside
                    向外转移




                               Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                                    10
含有百万台服务器的数据中心
Million Server Data Center
    冷却:用水循环的高效率冷却系统                                  结构:一个占地2.4万平方米的建筑
    ,与传统冷却系统相比,能量密度                                  物中安装了400个容器。这些容器由
    较低,通过容器循环冷水以去除热                                  卡车运抵,连到凸脊式基础设施上                                                   电源:两个电源子站总共向
    量,因此房间无需装空调。                                     ,这种基础设施提供网络连接、电                                                   数据中心提供300MW电力,
                                                     源和水。数据中心没有照惯例提高                                                   其中200MW用于计算设备,
                                                     地板。                                                               其余100MW消耗在冷却和电
                                                                                                                       量损失上。电池和发电机提
                                                                                                                       供备份电源。




                                                                                        Power & water distribution
                                                                                        功率和水的分配

                                                                                                                              Water-based
                                                                                                                              cooling system
                                                                                                                              采用水循环
                                                                                                                              的冷却系统
                                               容器:每个容积为67.5立
                                               方米的容器中都安装了
                                               2500台服务器,而在常规
                                               数据中心中,同样大小的
                                               空间所能容纳的服务器约  Racks of
             Truck carrying                    为其1/10。每个容器都集
                                                            servers Power
             container                         成了计算、网络、电源和
                                                            服务器 supply
             容器由卡车                             冷却系统。
                                                            机架 电源
             运抵
                                                         Source: IEEE Spectrum
                              Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                           11
数据中心架构的作用
Data Center Fabric Role

                                                                                        100s of Data Center servers may be involved per
                                                                                  transaction/request  large multiplier between Internet facing
                                                                                                  capacity and internal capacity
                                   Internet互联网                                    每项交易/请求也许涉及100台数据中心服务器
                                         Request请求                                互联网连接容量和内部容量之间相差很大的倍数

                                         Response响应



                                                                                                                        Data Center Interconnect
                                                                                                                            数据中心互连

                                                                                                  ToR Switch                   ToR Switch           ToR Switch
 For deployments in the 200-2000 node range                                                       ToR交换机                       ToR交换机               ToR交换机
 the interconnect (*) represents ~1/30th of the
 rack space, ~1/10th of the cost
 对于200至2000个节点的部署规模来说
 ,互连(*)占用1/30的机架空间,同
 时约占其成本的1/10


                                                                                                Rack servers                  Rack servers         Rack servers
                                                                                                机架式服务器                        机架式服务器               机架式服务器


               (*) 10G based interconnect, including NIC,QSFP transceivers, and cables, non-redundant model, no storage interconnect
                         (*)基于10G的互连,包括NIC、QSFP收发器和电缆,非冗余模式,无存储系统互连

                                     Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                                       12
数据中心大容量交换机面临的挑战
       Data Center Scale Switch Challenges

                                                                                           C0-0      C0-1         C0-31                       C0-0     C0-1    C0-31              C0-0    C0-1     C0-31


                             Aggregation & Core                                            B0-0      B0-1         B0-63                       B0-0     B0-1    B0-63              B0-0    B0-1     B0-63
                               汇聚与核心
                                                                                         32x10GE 32x10GE         32x10GE                     32x10GE 32x10GE   32x10GE           32x10GE 32x10GE   32x10GE


                                                                        Large L2 Networks
                                                                          大型 L2 网络

                                                                         Fat Tree 粗树

                       ToR                        ToR                 MapReduce, reduce                          A-0                            A-1                                       A-2047
          N:1                                                         overload events and
    Oversubscription                                                  port speed mismatch
                                                                     MapReduce,减少过                           32x10GE                         32x10GE                                     32x10GE
       超负载
                                                                     载事件和端口速度
                                                                              失配




• Traditional B/W hierarchy does not reach DC scale
  传统带宽体系达不到数据中心容量要求
    – Backplanes are not faster than links anymore 背板速度不再高于链路
                                                                                                                                                      Radix 64 - CLOS Cost Per Port



                                                                                                                   Total Cost Per Port
    – 10:1 link speed ratios are not sufficient aggregation 10:1的链路速度比使汇聚不够充分
• Multipathing enables large L2/L3 data center:
• 多路径可实现大规模L2/L3数据中心:
    – Solves Spanning Trees limits 解决生成树受限问题
    – Solves Rebalancing difficulties of ECMP/LAG static hashes
        克服ECMP/LAG静态散列重平衡的难题
• Spatial aggregation has a cost effective capacity curve
  空间汇聚具有经济实惠的容量曲线
    – Proven in large HPTC clusters with non blocking workload demands across various
                                                                                                                                         0     10,000 20,000 30,000 40,000 50,000 60,000 70,000
        technologies 在大型HPTC集群中、在采用各种不同技术的非阻塞工作量需求情
        况下得到证实
                                                                                                                                                                       Servers
    – Uses uniform building blocks (i.e.: Broadcom XGS switch family)
        采用一致的基本构件(即Broadcom XGS交换器系列)
                                                 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                                                                      13
I/O技术的演进
Evolution of I/O Technology



100 Gb/s




 10 Gb/s




  1 Gb/s




 0.1 Gb/s

            2000   2001    2002              2003              2004              2005              2006            2007   2008   2009




                          Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                        14
数据中心演进:以10GbE作为统一架构
The Data Center Evolution:10 GbE As the Unifying Fabric

                                 10 GbE Switch and Client ASSP Port Shipments
                                        Today’s Data Center
                                   10GbE交换机和客户ASSP端口交付量
                       Tomorrow’s Converged Network
              16000           10 GbE Client               10 GbE Switch

              14000

              12000

              10000
  Thousands




              8000

              6000

              4000

              2000

                 0
                         2007              2008                        2009                         2010                      2011   2012
                                                        Source: Linley 3/2010
                                                     数据来源:Linley公司,2010年3月


                * Forecast does not include Uplink ports on GbE switches. 不包括GbE交换机上行链路端口的预测数据
                * Forecast includes ports using merchant silicon or OEM developed ASICs 预测数据考虑了采用商用芯片或OEM开发的ASIC芯片的端口
                                     Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                 15
速率与接口
Speeds and Interfaces
                                                    Backplane




                                     24 X 10G Front Panel

                        Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.   16
热插拔 10G 模块比较
Hot Pluggable 10G Module Comparison

       SFP / SFP+
     (1G/2G/4G/8G/10G)                         XFP
       0.52" x 1.6" x 0.33"          0.65" x 2.3" x 0.33"



                                                                    XPAK or X2                                            XENPAK
                                                                     1.3″ x 2.4″ x.5″                                     2" x 5" x 0.88"




1W
         1.5W
                              4.5W

                                                                  6W



                                 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                     17
具有10G和40G端口的1U架顶式交换机
1U Top of Rack Switches with 10G and 40G Ports

 48 X 10G SFP+ Ports + 4 X 40G QSFP Ports 48 X 10G SFP+端口+4 X 40G QSFP端口
 480G Down Links + 160G Up Links = 640 Gbps (3:1 OS) 480G下行链路+160G上行链路=640Gbps(3:1 OS)




                                                   32 X 40G QSFPs
960G Down Links + 320G Up Links = 1280 Gbps (3:1 OS) 960G下行链路+320G上行链路=1280Gbps(3:1 OS)




                                                         BCM5684x



                      Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.   18
10G / 40G XGS Based Chassis基于10G/40G XGS的机架
  方框图和属性(以5Tbps和10Tbps为例)
  Block Diagram and Attributes (5 and 10Tbps examples)



                             5 Tbps                                                                                10 Tbps


   Flexible switch line card configuration                                                                  Full mesh backplane
        Utilizing 10G + 40G uplinks                                                                      distributed fabric examples
灵活的交换机线卡配置 采用10G+40G上行链路                                                                                全网状背板 分布式架构举例




                                                                                                           …                            …
                         …                                                                                                   …
           …                                 …                                                             …                            …



    64 x 10G Line Card        16 x 40G Line Card                                             64 x 10G Line Card                  16 x 40G Line Card
      64 x 10G线卡                16 x 40G线卡                                                     64 x 10G线卡                          16 x 40G线卡
                 5.12 Tbps, 8 slot                                                                            Up to 10.24 Tbps, 16 slot
                5.12Tbps,8槽                                                                                高达10.24Tbps,16槽
                               Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                                 19
可扩展架构模块化交换机
Scalable Fabric Modular Switch
• Acquisition of Dune Networks provides the next level of switching capacity
    收购Dune Networks提供了下一级的交换能力
•   Most scalable switching architecture based on SAND >30K servers
    大部分可扩展交换架构基于SAND >30K服务器
•   Strictly non-blocking – highest utilization of the networks resources
    严格的无阻碍 - 最多的利用网络资源
•   Dynamically load balancing across the data center
    在整个数据中进行实时的负载平衡
•   Efficient single hop packet processing with end-to-end scheduling
    通过端至端调度实现高效单独跳包处理




                                 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.   20
架构可扩展的模块式交换机
  Scalable Fabric Modular Switch

  Carrier Grade MAC         Integrated TM and                                                                          Fabric Element
  with Integrated TM          Fabric Access                                                                                 (FE)
集成了TM的运营商级MAC              集成的TM和架构接入                                                                                  架构组件(FE)




                    ECAD
                       R
                 LIN




                                        ECAD
                                           R
                                     LIN




                                                                                                 Integrated MAC, PP,
                                                                                                TM and Fabric Access
                                                                                                集成的MAC、PP、
                                                                                                   TM和架构接入




                           Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                       21
具有LOM功能的统一架构: 可面向任何融合网络协议进行配置
LOM-able Unified Fabric: Configure for Any Converged Network Protocol
                               Single-chip LOM-able Solution!
                              具有LOM功能的单芯片解决方案!




                                                                        FCoE, iSCSI & TCP / IP Traffic
                                                                        FCoE, iSCSI和TCP/IP流量


                      Fibre
                 Channel Storage                       Local Area Network                               iSCSI Storage
                  Area Network                              局域网                                          Area Network
                光纤通道存储域网                                                                               iSCSI存储域网



                   Market Leading Performance – iSCSI and FCoE
                        市场领先的性能 - iSCSI和FCoE

                                            Next-Gen 下一代
                    BCM57711
                    BCM57711                                                                           >1M
                    >500K IOPS
                     >500K IOPS                                                                        IOPS!

       Only vendor with simultaneous per port capability: Network + iSCSI + FCoE
       惟一一个每端口同时提供多种功能的厂商:网络+iSCSI+FCoE
                         Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.         22
提高数据中心功率效率: 卸载显著提高性能/W
  Improve Data Center Power Efficiency:
  Offload Significantly Improves Performance / Watt

        MBps vs CPU vs Watts
           35%                                                             Data Center
                                                                            Web,  Power Copy, OS 33% File
                                                                                     File          Load,                                    Streaming Media,
                                                                           Paging        Server, Database                                   Video Rendering,
                                                                              数据中心功率 30%                                                          IPTV
                        30%
                        250                                                                                                                              1200
                        25%
            Loading %



                        20%
                        200                                          18%                                                                                 1000


                        15%                                                                                                                              800
         Watts / %CPU




                        150
                                                                                                                                            9%




                                                                                                                                                                MBps
                        10%                                                                                                                              600
                                                                                         5%
                        100                                                                                                                            3%
                         5%
                                    1%             1%                                                                                                    400
                         0%
                        50     Lighting          Switch  UPS /    PDU                                     IT                Chiller        CRAC     Humidifier
                                                                                                                                                        200
                                照明                Gear  Generator                                     Equipment             冷却器                      加湿器
                                                交换设备 UPS/发电机                                           IT 设备
                         0                                                      Equipment Categories 设备类别                                                0
                              512        1024    2048        4096        8192       16384       32768       65536      131072 262144 524288 1048576

             Offload • Improved PUE (Power Utilization Efficiency) 更高的PUE(功率利用效率)
                                                    57711 iSCSI Offload – Sum of WATTS
            Provides iSCSI Offload – Sum of MBps
                  57711
                        • Permanentofpower savings for right-sizing 因大小合适而长久节省功率
        Data Centers 50-70%Sum MBpspower savings 额外节省50%-70%的功率
                  Competitor’s L2 –
                                    additional
                                                    Competitor’s L2 – Sum of WATTS

    卸载为数据中心提供 Lowers non-IT infrastructure CAPEX 降低非IT基础设施的CAPEX

Broadcom hardware offload saves ~60W per port of power while delivering higher throughput
      Broadcom硬件卸载每端口节省约60W功率,同时提供更高的吞吐量
                                                  Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                               23
Broadcom实现节能以太网
Broadcom Enabling Energy Efficient Ethernet
        Comprehensive Energy-Efficient Ethernet portfolio includes
                       完整的节能以太网产品包括
    10/100/1000BASE-T PHYs • 10GBASE-T PHYs • Gig E and 10GE controllers
                          Switches • SMB switches




                      Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.   24
未来的方向 - 在云中的虚拟化交换环境
               Future Directions – Virtualized Switching Environments in the Cloud




      Virtual Ethernet Bridge                  Virtual Ethernet Port                                                Multichannel                   Remote Replication
  (VEB) 虚拟以太网桥(VEB)                       Aggregation (VEPA)虚拟以太                                                     多通道                              远程复制
     MAC+VID to steer frames                网端口汇聚(VEPA)
                                                                                                           Uses tag for remote ports            Uses tag to replicate packets
        MAC+VID控制帧                          MAC+VID to steer frames                                         使用远程端口标记                            使用标记来复制数据包
• Emulates 802.1 bridge                         MAC+VID控制帧
  模仿802.1桥                              • Exploits 802.1 bridge                                  • Exploits provider bridge                   • Extends Multichannel
                                          利用802.1桥                                                  利用提供商的桥                                     扩展多通道
• Existing implementations
  (vSwitch, SR-IOV bridge)              • Works with many existing bridges                       • Similarities to remote                     • Optimizes multicast delivery
  已有部署(vSwitch,SR-IOV桥)                   (hairpin)                                                 service Interface
                                                                                                                                                优化多播交付
                                          与很多已有桥一起运行(发夹式)                                           与远程服务接口类似
• Works with all existing bridges                                                                                                             • Enables external cascading
  与全部已有桥一起运行                            • No changes to existing frame format                    • Uses existing frame formats (S-tags)
                                                                                                    利用已有帧格式(S-tags)                             实现外部级联
• No changes to existing frame format     不改变已有帧格式
  不改变已有帧格式                              • Full bridge visibility                                 • Creates bridge virtual ports               • Defines new tag format
                                          桥完全可见                                                     建立桥虚拟端口                                     定义新的标记格式
• Limited bridge visibility
  桥的可见性有限                               • Access to bridge features                              • Defines restricted s-component             • Defines new name space
                                          使用桥功能                                                     定义受限制的s-分量                                  定义新的名字空间
• Limited feature set 功能有限
                                        • Constrained performance                                • Access to bridge features
• Best local performance                                                                            使用桥功能
  最佳的本地性能                                 性能受限
                                        • Leverages VEB resources                                • Adjacent bridge multicast replication
• Legacy, pervasive solution                                                                        (constrained performance)
                                          利用VEB资源
  传统的、无处不在的解决方案                                                                                     邻接桥多播复制(性能受限)


                                                     Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.                                     25
结论
Conclusions

• Next generation large scale data centers can be built utilizing Converged Ethernet Fabrics
  新一代大规模数据中心可以利用融合以太网架构来搭建
• 10G, 40G and 100G provide the scale and capacity to implement the large switching
  infrastructures that are required to support 10,000s of servers
  10G、40G和100G提供实现大型交换基础设施所需的规模和容量,要求
  这样的基础设施支持1万台服务器
• 10G and future 40G Ethernet Controllers with off-load technologies will enable efficient I/O
  and high performance computing
  采用卸载技术的10G和未来的40G以太网控制器将实现高效率I/O和高性
  能计算
• Current and next generation Switch and Controller devices from companies like Broadcom
  will allow OEMs to build cost effective Data Center networking equipment
  Broadcom等公司提供的目前和下一代交换机和控制器用器件将使OEM能
  够开发经济实惠的数据中心网络设备



                          Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.   26
谢 谢!




                                                                                         www.broadcom.com
Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.
www.cloudcomputingchina.org
                              www.broadcom.com

Mais conteúdo relacionado

Mais procurados

Embedding LTE into Netbooks & Consumer Electronics
Embedding LTE into Netbooks & Consumer ElectronicsEmbedding LTE into Netbooks & Consumer Electronics
Embedding LTE into Netbooks & Consumer ElectronicsContinuous Computing
 
Gil 2012 Africa: Mega Trends Africa Telecoms and iIT by Chantel Lindeman
Gil 2012 Africa: Mega Trends Africa Telecoms and iIT by Chantel LindemanGil 2012 Africa: Mega Trends Africa Telecoms and iIT by Chantel Lindeman
Gil 2012 Africa: Mega Trends Africa Telecoms and iIT by Chantel LindemanSamantha James
 
Cloud 2015: The Road to 15 Billion Connected Devices
Cloud 2015: The Road to 15 Billion Connected DevicesCloud 2015: The Road to 15 Billion Connected Devices
Cloud 2015: The Road to 15 Billion Connected DevicesIntel IT Center
 
Deploying Access for 3G and 4G Mobile Networks
Deploying Access for 3G and 4G Mobile NetworksDeploying Access for 3G and 4G Mobile Networks
Deploying Access for 3G and 4G Mobile NetworksCisco Canada
 
Informa Telecoms & Media’s top 10 picks for MWC 2012
Informa Telecoms & Media’s top 10 picks for MWC 2012Informa Telecoms & Media’s top 10 picks for MWC 2012
Informa Telecoms & Media’s top 10 picks for MWC 2012Mikhail
 
MeasureWorks eFinancials - Best practices for a successfull mobile experienc...
MeasureWorks eFinancials  - Best practices for a successfull mobile experienc...MeasureWorks eFinancials  - Best practices for a successfull mobile experienc...
MeasureWorks eFinancials - Best practices for a successfull mobile experienc...MeasureWorks
 
Lithium Overview - FutureGov Network
Lithium Overview - FutureGov NetworkLithium Overview - FutureGov Network
Lithium Overview - FutureGov NetworkDominic Campbell
 
Airtel Represented at The Mobile VAS SUMMIT 2009
Airtel Represented at The Mobile VAS SUMMIT 2009Airtel Represented at The Mobile VAS SUMMIT 2009
Airtel Represented at The Mobile VAS SUMMIT 2009Paritosh Sharma
 
Wi-Fi for a Connected World Towards Next Generation Networks
Wi-Fi for a Connected World Towards Next Generation NetworksWi-Fi for a Connected World Towards Next Generation Networks
Wi-Fi for a Connected World Towards Next Generation NetworksGreen Packet
 
Are wireless networks a substitute for fixed networks
Are wireless networks a substitute for fixed networksAre wireless networks a substitute for fixed networks
Are wireless networks a substitute for fixed networksryanhawthorne
 
Optimising mobile signature v4
Optimising mobile signature v4Optimising mobile signature v4
Optimising mobile signature v4moldovaictsummit
 
CDNetworks Reaching China with Your Website and Brand - The Hard Truth
CDNetworks Reaching China with Your Website and Brand - The Hard TruthCDNetworks Reaching China with Your Website and Brand - The Hard Truth
CDNetworks Reaching China with Your Website and Brand - The Hard TruthCDNetworks
 
Communic Asia 2011 Catalogue
Communic Asia 2011 CatalogueCommunic Asia 2011 Catalogue
Communic Asia 2011 CatalogueElad Cohen
 
Value added service (VAS) provider failures: insights from VAS product companies
Value added service (VAS) provider failures: insights from VAS product companiesValue added service (VAS) provider failures: insights from VAS product companies
Value added service (VAS) provider failures: insights from VAS product companiesBrowne & Mohan
 
Juniper Networks IR Investor and Analyst Update - Mobile World Congress 2012
Juniper Networks IR Investor and Analyst Update - Mobile World Congress 2012Juniper Networks IR Investor and Analyst Update - Mobile World Congress 2012
Juniper Networks IR Investor and Analyst Update - Mobile World Congress 2012Juniper Networks
 
Cms Summit 2009 Com Score
Cms Summit 2009   Com ScoreCms Summit 2009   Com Score
Cms Summit 2009 Com Scoretiniporter
 
Believe
BelieveBelieve
BelieveAdmeld
 
Deividas Talijūnas Golden Hammer
Deividas Talijūnas Golden HammerDeividas Talijūnas Golden Hammer
Deividas Talijūnas Golden Hammerzudykreklama
 

Mais procurados (20)

Embedding LTE into Netbooks & Consumer Electronics
Embedding LTE into Netbooks & Consumer ElectronicsEmbedding LTE into Netbooks & Consumer Electronics
Embedding LTE into Netbooks & Consumer Electronics
 
Gil 2012 Africa: Mega Trends Africa Telecoms and iIT by Chantel Lindeman
Gil 2012 Africa: Mega Trends Africa Telecoms and iIT by Chantel LindemanGil 2012 Africa: Mega Trends Africa Telecoms and iIT by Chantel Lindeman
Gil 2012 Africa: Mega Trends Africa Telecoms and iIT by Chantel Lindeman
 
Cloud 2015: The Road to 15 Billion Connected Devices
Cloud 2015: The Road to 15 Billion Connected DevicesCloud 2015: The Road to 15 Billion Connected Devices
Cloud 2015: The Road to 15 Billion Connected Devices
 
Deploying Access for 3G and 4G Mobile Networks
Deploying Access for 3G and 4G Mobile NetworksDeploying Access for 3G and 4G Mobile Networks
Deploying Access for 3G and 4G Mobile Networks
 
Intro to forum_nokia_sofia_13042010
Intro to forum_nokia_sofia_13042010Intro to forum_nokia_sofia_13042010
Intro to forum_nokia_sofia_13042010
 
Informa Telecoms & Media’s top 10 picks for MWC 2012
Informa Telecoms & Media’s top 10 picks for MWC 2012Informa Telecoms & Media’s top 10 picks for MWC 2012
Informa Telecoms & Media’s top 10 picks for MWC 2012
 
MeasureWorks eFinancials - Best practices for a successfull mobile experienc...
MeasureWorks eFinancials  - Best practices for a successfull mobile experienc...MeasureWorks eFinancials  - Best practices for a successfull mobile experienc...
MeasureWorks eFinancials - Best practices for a successfull mobile experienc...
 
Lithium Overview - FutureGov Network
Lithium Overview - FutureGov NetworkLithium Overview - FutureGov Network
Lithium Overview - FutureGov Network
 
Airtel Represented at The Mobile VAS SUMMIT 2009
Airtel Represented at The Mobile VAS SUMMIT 2009Airtel Represented at The Mobile VAS SUMMIT 2009
Airtel Represented at The Mobile VAS SUMMIT 2009
 
Wi-Fi for a Connected World Towards Next Generation Networks
Wi-Fi for a Connected World Towards Next Generation NetworksWi-Fi for a Connected World Towards Next Generation Networks
Wi-Fi for a Connected World Towards Next Generation Networks
 
Are wireless networks a substitute for fixed networks
Are wireless networks a substitute for fixed networksAre wireless networks a substitute for fixed networks
Are wireless networks a substitute for fixed networks
 
Optimising mobile signature v4
Optimising mobile signature v4Optimising mobile signature v4
Optimising mobile signature v4
 
CDNetworks Reaching China with Your Website and Brand - The Hard Truth
CDNetworks Reaching China with Your Website and Brand - The Hard TruthCDNetworks Reaching China with Your Website and Brand - The Hard Truth
CDNetworks Reaching China with Your Website and Brand - The Hard Truth
 
Communic Asia 2011 Catalogue
Communic Asia 2011 CatalogueCommunic Asia 2011 Catalogue
Communic Asia 2011 Catalogue
 
Value added service (VAS) provider failures: insights from VAS product companies
Value added service (VAS) provider failures: insights from VAS product companiesValue added service (VAS) provider failures: insights from VAS product companies
Value added service (VAS) provider failures: insights from VAS product companies
 
Juniper Networks IR Investor and Analyst Update - Mobile World Congress 2012
Juniper Networks IR Investor and Analyst Update - Mobile World Congress 2012Juniper Networks IR Investor and Analyst Update - Mobile World Congress 2012
Juniper Networks IR Investor and Analyst Update - Mobile World Congress 2012
 
VOICE OF GMIC_EN
VOICE OF GMIC_ENVOICE OF GMIC_EN
VOICE OF GMIC_EN
 
Cms Summit 2009 Com Score
Cms Summit 2009   Com ScoreCms Summit 2009   Com Score
Cms Summit 2009 Com Score
 
Believe
BelieveBelieve
Believe
 
Deividas Talijūnas Golden Hammer
Deividas Talijūnas Golden HammerDeividas Talijūnas Golden Hammer
Deividas Talijūnas Golden Hammer
 

Destaque

Broadcom Bangalore Openings
Broadcom Bangalore OpeningsBroadcom Bangalore Openings
Broadcom Bangalore OpeningsKathir Avan
 
Cccc net app_wallacefung
Cccc net app_wallacefungCccc net app_wallacefung
Cccc net app_wallacefungCloud Congress
 
SUGUK Birmingham - Taking the Geek out of SharePoint Governance
SUGUK Birmingham - Taking the Geek out of SharePoint GovernanceSUGUK Birmingham - Taking the Geek out of SharePoint Governance
SUGUK Birmingham - Taking the Geek out of SharePoint Governance21apps
 
CCCC Amazon Simone Brunozzi
CCCC Amazon Simone BrunozziCCCC Amazon Simone Brunozzi
CCCC Amazon Simone BrunozziCloud Congress
 
Tendencias y problemas en Grandes Corporaciones
Tendencias y problemas en Grandes CorporacionesTendencias y problemas en Grandes Corporaciones
Tendencias y problemas en Grandes CorporacionesGuillermo Paredes
 
Slide presentasi SESINDO 2011
Slide presentasi SESINDO 2011Slide presentasi SESINDO 2011
Slide presentasi SESINDO 2011Dion Webiaswara
 
CCCC China Export-import Bank Yunshen Wang
CCCC China Export-import Bank Yunshen WangCCCC China Export-import Bank Yunshen Wang
CCCC China Export-import Bank Yunshen WangCloud Congress
 
Assistive Technology WebQuest
Assistive Technology WebQuestAssistive Technology WebQuest
Assistive Technology WebQuestkdnave
 
SISFO Keuangan Masjid Berbasis MVC
SISFO Keuangan Masjid Berbasis MVCSISFO Keuangan Masjid Berbasis MVC
SISFO Keuangan Masjid Berbasis MVCDion Webiaswara
 
Knowledge Management and Governance Reform
Knowledge Management and Governance ReformKnowledge Management and Governance Reform
Knowledge Management and Governance ReformSören Bauer
 

Destaque (20)

Broadcom Bangalore Openings
Broadcom Bangalore OpeningsBroadcom Bangalore Openings
Broadcom Bangalore Openings
 
Cccc net app_wallacefung
Cccc net app_wallacefungCccc net app_wallacefung
Cccc net app_wallacefung
 
SUGUK Birmingham - Taking the Geek out of SharePoint Governance
SUGUK Birmingham - Taking the Geek out of SharePoint GovernanceSUGUK Birmingham - Taking the Geek out of SharePoint Governance
SUGUK Birmingham - Taking the Geek out of SharePoint Governance
 
CCCC Amazon Simone Brunozzi
CCCC Amazon Simone BrunozziCCCC Amazon Simone Brunozzi
CCCC Amazon Simone Brunozzi
 
Wa 6
Wa 6Wa 6
Wa 6
 
Jak design portfolio
Jak  design portfolioJak  design portfolio
Jak design portfolio
 
Tendencias y problemas en Grandes Corporaciones
Tendencias y problemas en Grandes CorporacionesTendencias y problemas en Grandes Corporaciones
Tendencias y problemas en Grandes Corporaciones
 
Slide presentasi SESINDO 2011
Slide presentasi SESINDO 2011Slide presentasi SESINDO 2011
Slide presentasi SESINDO 2011
 
CCCC China Export-import Bank Yunshen Wang
CCCC China Export-import Bank Yunshen WangCCCC China Export-import Bank Yunshen Wang
CCCC China Export-import Bank Yunshen Wang
 
Wa 8
Wa 8Wa 8
Wa 8
 
Wa 3
Wa 3Wa 3
Wa 3
 
Assistive Technology WebQuest
Assistive Technology WebQuestAssistive Technology WebQuest
Assistive Technology WebQuest
 
Tipping point
Tipping pointTipping point
Tipping point
 
Toastmasters in Ukraine
Toastmasters in UkraineToastmasters in Ukraine
Toastmasters in Ukraine
 
Chronology For Ui
Chronology For  UiChronology For  Ui
Chronology For Ui
 
PP_sample1
PP_sample1PP_sample1
PP_sample1
 
Oer growers agri-moodle
Oer growers agri-moodleOer growers agri-moodle
Oer growers agri-moodle
 
E-learning and agriMoodle, OER Growers Autumn 2012
E-learning and agriMoodle, OER Growers Autumn 2012E-learning and agriMoodle, OER Growers Autumn 2012
E-learning and agriMoodle, OER Growers Autumn 2012
 
SISFO Keuangan Masjid Berbasis MVC
SISFO Keuangan Masjid Berbasis MVCSISFO Keuangan Masjid Berbasis MVC
SISFO Keuangan Masjid Berbasis MVC
 
Knowledge Management and Governance Reform
Knowledge Management and Governance ReformKnowledge Management and Governance Reform
Knowledge Management and Governance Reform
 

Semelhante a CCCC Broadcom Nicholas Ilyadis

The Imperative for Visibility into Cloud Native Web Services Traffic
The Imperative for Visibility into Cloud Native Web Services TrafficThe Imperative for Visibility into Cloud Native Web Services Traffic
The Imperative for Visibility into Cloud Native Web Services TrafficDevOps.com
 
Cisco mobile offload_architecture_21062012
Cisco mobile offload_architecture_21062012Cisco mobile offload_architecture_21062012
Cisco mobile offload_architecture_21062012c0nd3
 
Hybrid Customer Insight - Data Collection and Analysis from On-premise and in...
Hybrid Customer Insight - Data Collection and Analysis from On-premise and in...Hybrid Customer Insight - Data Collection and Analysis from On-premise and in...
Hybrid Customer Insight - Data Collection and Analysis from On-premise and in...LicensingLive! - SafeNet
 
Cloud Computing Asia Pacific Congress 2010
Cloud Computing Asia Pacific Congress 2010Cloud Computing Asia Pacific Congress 2010
Cloud Computing Asia Pacific Congress 2010Cindy Chow
 
Service Manager Cloud Seminar introcustext
Service Manager Cloud Seminar introcustextService Manager Cloud Seminar introcustext
Service Manager Cloud Seminar introcustextMicrosoft Norge AS
 
Is it Time to Move Your Enterprise to the Cloud
Is it Time to Move Your Enterprise to the CloudIs it Time to Move Your Enterprise to the Cloud
Is it Time to Move Your Enterprise to the CloudProformative, Inc.
 
Cisco tec de beer, andersen, o'sullivan - video & collaboration
Cisco tec   de beer, andersen, o'sullivan - video & collaborationCisco tec   de beer, andersen, o'sullivan - video & collaboration
Cisco tec de beer, andersen, o'sullivan - video & collaborationCisco Public Relations
 
AccessGE_Data_Centers_06-18-13_final
AccessGE_Data_Centers_06-18-13_finalAccessGE_Data_Centers_06-18-13_final
AccessGE_Data_Centers_06-18-13_finaltrojans99
 
Next-Gen Security (using Cloud)
Next-Gen Security (using Cloud)Next-Gen Security (using Cloud)
Next-Gen Security (using Cloud)Jim Kaskade
 
Cisco Connect Halifax 2018 Cisco dna - network intuitive
Cisco Connect Halifax 2018   Cisco dna - network intuitiveCisco Connect Halifax 2018   Cisco dna - network intuitive
Cisco Connect Halifax 2018 Cisco dna - network intuitiveCisco Canada
 
Juniper Content Delivery Network
Juniper Content Delivery NetworkJuniper Content Delivery Network
Juniper Content Delivery NetworkSergii Liventsev
 
클라우드 시대 AP 가속으로 승부하라(2)
클라우드 시대 AP 가속으로 승부하라(2)클라우드 시대 AP 가속으로 승부하라(2)
클라우드 시대 AP 가속으로 승부하라(2)mosaicnet
 
Linked Data ROI 20110426
Linked Data ROI 20110426Linked Data ROI 20110426
Linked Data ROI 20110426David Wood
 
Building the Future with Technology: The Next Five Years
Building the Future with Technology: The Next Five Years Building the Future with Technology: The Next Five Years
Building the Future with Technology: The Next Five Years Cisco Canada
 
Big Communications Event, Keynote Communications Track
Big Communications Event, Keynote Communications TrackBig Communications Event, Keynote Communications Track
Big Communications Event, Keynote Communications TrackRon Batra
 
Internet 2020: The Future Connection
Internet 2020: The Future ConnectionInternet 2020: The Future Connection
Internet 2020: The Future ConnectionChristine Nolan
 
2010 Software Licensing and Pricing Survey Results and 2011 Predictions
2010 Software Licensing and Pricing Survey Results and 2011 Predictions2010 Software Licensing and Pricing Survey Results and 2011 Predictions
2010 Software Licensing and Pricing Survey Results and 2011 PredictionsFlexera
 
The DevOps PaaS Infusion - May meetup
The DevOps PaaS Infusion - May meetupThe DevOps PaaS Infusion - May meetup
The DevOps PaaS Infusion - May meetupNorm Leitman
 
Cloudify summit2012 pub
Cloudify summit2012 pubCloudify summit2012 pub
Cloudify summit2012 pubGary Berger
 

Semelhante a CCCC Broadcom Nicholas Ilyadis (20)

The Imperative for Visibility into Cloud Native Web Services Traffic
The Imperative for Visibility into Cloud Native Web Services TrafficThe Imperative for Visibility into Cloud Native Web Services Traffic
The Imperative for Visibility into Cloud Native Web Services Traffic
 
Cisco mobile offload_architecture_21062012
Cisco mobile offload_architecture_21062012Cisco mobile offload_architecture_21062012
Cisco mobile offload_architecture_21062012
 
Hybrid Customer Insight - Data Collection and Analysis from On-premise and in...
Hybrid Customer Insight - Data Collection and Analysis from On-premise and in...Hybrid Customer Insight - Data Collection and Analysis from On-premise and in...
Hybrid Customer Insight - Data Collection and Analysis from On-premise and in...
 
Cloud Computing Asia Pacific Congress 2010
Cloud Computing Asia Pacific Congress 2010Cloud Computing Asia Pacific Congress 2010
Cloud Computing Asia Pacific Congress 2010
 
SSMX SocialAirlines
SSMX SocialAirlinesSSMX SocialAirlines
SSMX SocialAirlines
 
Service Manager Cloud Seminar introcustext
Service Manager Cloud Seminar introcustextService Manager Cloud Seminar introcustext
Service Manager Cloud Seminar introcustext
 
Is it Time to Move Your Enterprise to the Cloud
Is it Time to Move Your Enterprise to the CloudIs it Time to Move Your Enterprise to the Cloud
Is it Time to Move Your Enterprise to the Cloud
 
Cisco tec de beer, andersen, o'sullivan - video & collaboration
Cisco tec   de beer, andersen, o'sullivan - video & collaborationCisco tec   de beer, andersen, o'sullivan - video & collaboration
Cisco tec de beer, andersen, o'sullivan - video & collaboration
 
AccessGE_Data_Centers_06-18-13_final
AccessGE_Data_Centers_06-18-13_finalAccessGE_Data_Centers_06-18-13_final
AccessGE_Data_Centers_06-18-13_final
 
Next-Gen Security (using Cloud)
Next-Gen Security (using Cloud)Next-Gen Security (using Cloud)
Next-Gen Security (using Cloud)
 
Cisco Connect Halifax 2018 Cisco dna - network intuitive
Cisco Connect Halifax 2018   Cisco dna - network intuitiveCisco Connect Halifax 2018   Cisco dna - network intuitive
Cisco Connect Halifax 2018 Cisco dna - network intuitive
 
Juniper Content Delivery Network
Juniper Content Delivery NetworkJuniper Content Delivery Network
Juniper Content Delivery Network
 
클라우드 시대 AP 가속으로 승부하라(2)
클라우드 시대 AP 가속으로 승부하라(2)클라우드 시대 AP 가속으로 승부하라(2)
클라우드 시대 AP 가속으로 승부하라(2)
 
Linked Data ROI 20110426
Linked Data ROI 20110426Linked Data ROI 20110426
Linked Data ROI 20110426
 
Building the Future with Technology: The Next Five Years
Building the Future with Technology: The Next Five Years Building the Future with Technology: The Next Five Years
Building the Future with Technology: The Next Five Years
 
Big Communications Event, Keynote Communications Track
Big Communications Event, Keynote Communications TrackBig Communications Event, Keynote Communications Track
Big Communications Event, Keynote Communications Track
 
Internet 2020: The Future Connection
Internet 2020: The Future ConnectionInternet 2020: The Future Connection
Internet 2020: The Future Connection
 
2010 Software Licensing and Pricing Survey Results and 2011 Predictions
2010 Software Licensing and Pricing Survey Results and 2011 Predictions2010 Software Licensing and Pricing Survey Results and 2011 Predictions
2010 Software Licensing and Pricing Survey Results and 2011 Predictions
 
The DevOps PaaS Infusion - May meetup
The DevOps PaaS Infusion - May meetupThe DevOps PaaS Infusion - May meetup
The DevOps PaaS Infusion - May meetup
 
Cloudify summit2012 pub
Cloudify summit2012 pubCloudify summit2012 pub
Cloudify summit2012 pub
 

Mais de Cloud Congress

CCCC SuccessFactors Tom Fisher
CCCC SuccessFactors Tom FisherCCCC SuccessFactors Tom Fisher
CCCC SuccessFactors Tom FisherCloud Congress
 
CCCC Nokia Siemens Networks Amir Lahat
CCCC Nokia Siemens Networks Amir LahatCCCC Nokia Siemens Networks Amir Lahat
CCCC Nokia Siemens Networks Amir LahatCloud Congress
 
CCCC Neustar Lenny Rachitsky
CCCC Neustar Lenny RachitskyCCCC Neustar Lenny Rachitsky
CCCC Neustar Lenny RachitskyCloud Congress
 
CCCC NetApp Wallace Fung
CCCC NetApp Wallace FungCCCC NetApp Wallace Fung
CCCC NetApp Wallace FungCloud Congress
 
CCCC McAfee Marc Olesen
CCCC McAfee Marc OlesenCCCC McAfee Marc Olesen
CCCC McAfee Marc OlesenCloud Congress
 
CCCC china unicom xiongyan tang
CCCC china unicom xiongyan tangCCCC china unicom xiongyan tang
CCCC china unicom xiongyan tangCloud Congress
 
CCCC ChinaTravelSky Gang Hu
CCCC ChinaTravelSky Gang HuCCCC ChinaTravelSky Gang Hu
CCCC ChinaTravelSky Gang HuCloud Congress
 
CCCC China Telecom Jun Wan
CCCC China Telecom Jun WanCCCC China Telecom Jun Wan
CCCC China Telecom Jun WanCloud Congress
 

Mais de Cloud Congress (8)

CCCC SuccessFactors Tom Fisher
CCCC SuccessFactors Tom FisherCCCC SuccessFactors Tom Fisher
CCCC SuccessFactors Tom Fisher
 
CCCC Nokia Siemens Networks Amir Lahat
CCCC Nokia Siemens Networks Amir LahatCCCC Nokia Siemens Networks Amir Lahat
CCCC Nokia Siemens Networks Amir Lahat
 
CCCC Neustar Lenny Rachitsky
CCCC Neustar Lenny RachitskyCCCC Neustar Lenny Rachitsky
CCCC Neustar Lenny Rachitsky
 
CCCC NetApp Wallace Fung
CCCC NetApp Wallace FungCCCC NetApp Wallace Fung
CCCC NetApp Wallace Fung
 
CCCC McAfee Marc Olesen
CCCC McAfee Marc OlesenCCCC McAfee Marc Olesen
CCCC McAfee Marc Olesen
 
CCCC china unicom xiongyan tang
CCCC china unicom xiongyan tangCCCC china unicom xiongyan tang
CCCC china unicom xiongyan tang
 
CCCC ChinaTravelSky Gang Hu
CCCC ChinaTravelSky Gang HuCCCC ChinaTravelSky Gang Hu
CCCC ChinaTravelSky Gang Hu
 
CCCC China Telecom Jun Wan
CCCC China Telecom Jun WanCCCC China Telecom Jun Wan
CCCC China Telecom Jun Wan
 

Último

Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 

Último (20)

Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 

CCCC Broadcom Nicholas Ilyadis

  • 1. www.cloudcomputingchina.org www.broadcom.com
  • 2. Large Scale Data Centers 大规模数据中心 Ethernet as the Enabling Technology 以太网技术起到了推动和促进作用 Nick Ilyadis 副总裁兼首席技术官 Broadcom(博通)公司 2010年3月 www.broadcom.com Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.
  • 3. Safe Harbor This presentation may contain forward-looking statements regarding future events or the future performance of Broadcom. These forward-looking statements may include guidance we will provide on future growth drivers in the markets in which we operate and statements about the prospects for our various businesses. All statements that we make or incorporate by reference in the presentation, other than statements or characterizations of historical fact, are forward-looking statements. It should be clearly understood that these forward-looking statements, and our assumptions about the factors that influence them, are based on the limited information available to us at this date. Such information is subject to change. We undertake no obligation to revise or update publicly any forward-looking statement, except as required by law. Forward-looking statements are not guarantees of future results and are subject to risks, uncertainties and assumptions that are difficult to predict. Therefore, our actual results could differ materially and adversely from those described in the statements you hear today as a result of various factors. We refer you to our 2008 Form 10-K, subsequent and forthcoming 10-Qs and other filings with the SEC, which discuss some of the important risk factors that could contribute to such differences or otherwise affect our business, results of operations and financial condition. In addition, during the presentation we may refer to certain non-GAAP financial measures. Non-GAAP free cash flow is defined as net cash provided from operating activities less purchases of property and equipment, net, as reported in our statements of cash flows presented in accordance with GAAP. The non-GAAP financial information presented herein should be considered supplemental to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. However, Broadcom believes that non-GAAP reporting, giving effect to the adjustments shown in the reconciliations in this presentation, provides important supplemental information to management and investors regarding financial and business trends relating to the company's financial condition and results of operations. © 2009 Broadcom Corporation. All rights reserved. Broadcom®, the pulse logo, Connecting everything®, and the Connecting everything logo are among the trademarks of Broadcom Corporation and/or its affiliates in the United States, certain other countries and/or the EU. Any other trademarks or trade names mentioned are the property of their respective owners. Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 2
  • 4. Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 3
  • 5. 关于Broadcom • 成立于1991年 Founded in 1991 • 1998年初次公开发行股票 Initial public offering in April 1998 (NASDAQ-BRCM) • 财富500强公司 Fortune 500 company • 全球有线及无线通讯半导体市场的领导者 Global leader in semiconductors for wired and wireless communications • 2009年净营业额44.9亿美元 2009 net revenue of $4.49 billion • 2009年第四季度净营业额13.4亿美元 Q4 2009 net revenue of $1.34 billion • 最大的无晶圆生产半导体公司之一 One of the largest volume fabless semiconductor suppliers • 广泛的知识产权及超过13,150个美国和国外专利及专利申请 Broad IP portfolio with over 13,150 U.S. and foreign patents and applications • 全球员工及临时人力7,400人(不包含实习生) 7,400 employees and temporary workers worldwide (excluding interns) – 平均每位雇员为公司增值净额72.5万美元 $725,000 Annualized net revenue per employee – 在亚洲拥有超过1500名雇员 More than 1,500 employees in Asia – 在中国上海、北京和深圳的研发中心里共有超过300位员工 300+ employees in China with R&D sites in Shanghai, Beijing and Shenzhen 通过独特创新的产品来创造新组合与应用 Driving convergence through unique and innovative product offerings Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 4
  • 6. Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 5
  • 7. 互联网数据中心Internet Data Center 需要以更低的功率提供更高速、更高密度和更大的存储容量 Demanding Higher Speed and Density and More Storage at Lower Power 互联网视频观众预测, 2006年–2012年 每天观看的视频总数预测,2006年–2012年 Forecast of Total Videos Viewed per Day, 2006–2012 Internet Video Viewers Forecast, 2006–2012 1,400 中国前10位的社交网站 (单位:百万) 60% 1,800 250 90% 35% Top 10 China Social NetworkingInternet Video ViewersIDC, 2009 中国数据中心市场 2007-2013 每天观看的视频总数 Total 互联网视频观众 Day Video Viewed per Sites Source: 增长率 (%) China Data Center Market,Growth Rate (%) Growth Rate (%)增长率 (%) 2007–2013 1,200 (Service Revenue – Dollars in Millions) 30% 1,500 更多运算在数据中心中运行 50% 75% 每天观看的视频总数 (单位:百万) 200 1,000 Market Size “云计算” Growth Rate (%) 25% 视频观众 (单位:百万) 1,200 More web applications running in data center 40% 60% “Cloud Computing” US$ (in millions) 150 800 20% 更多基于浏览器的用户设备 Top 10 30% 900 45% China user devices are browsers More Social Networking Sites 600 15% 100 在互联网数据中心运行的企业数据和应用日益增加 20% 600 Corporate data and number of applications 30% running in Internet data centers are growing 400 10% 50 300 10% 15% 200 5% 0 0 0 0% 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 数据来源:In-Stat,2007年11月 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 6
  • 8. 我们走了多远,将去向何方? How Far Have We Come, Where Are We Going? 过去 现在 将来 Honeywell DDP-516 PalmOne 3G/4G 接口信息处理机 Treo 设备 1969 2004 2010 Interface Message Processor Device 半导体电子产品领域的创新是这些技术进步的关键驱动力 Innovation in the field of semiconductor electronics was the key to unlocking these advancements 通过50Kbps的租用线 通过50Kbps的GPRS链路 以数Mbps速度 连接到互联网 连接到互联网 连接到互联网 Connected to Internet via Connected to Internet via Connected to Internet via 50 Kbps leased line 50 Kbps GPRS link many Mbps Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 7
  • 9. 中国总体网络使用情况 Total Network Usage in China Internet Users in China – 2008 中国的互联网用户 – 2009 384 Million 233 Million 703 Million (by end of 2009) (by end of 2009) (by July 2009) Source: CNNIC, 1/10 移动互联网用户 互联网用户 移动电话用户 Mobile Internet Users Internet Users Mobile Phone Subscribers Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 8
  • 10. 智能手机销售…Smartphone Sales… 到2013年,会达到1.23亿部,或者占整个手机销售的 36%,这是由于丰富的产品及不断下降的价格 … will reach 123 million units or 36% of the total handset sales in 2013, thanks to enriched product portfolio and falling price 140 China Smart Phone Market Forecast (2008-2013F, million units) 120 123.4 100 31.1% CAGR from 103.5 2008 to 2013 80 82.1 60 61.4 40 44.2 20 31.8 0 2008 2009 2010F 2011F 2012F 2013F Percent of smart phone 16.0% 18.0% 23.0% 28.0% 32.0% 36.0% Note: BDA’s forecast model is based on demand driven methodology. The above figures may be larger than retail tracking data. Source: BDA, CCID – 03/2010 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 9
  • 11. 不断演变的计算模式:数据中心 Evolving Computing Models: Data Center 1960s: Big Iron Mainframes 10K+ servers Uplinks: Cloud Computing Multi-chas 2000s: 100 Tbps 10K+服务器 上行链路: 100Tbps多机箱 上世纪60年代:大型计算机 2000年:云计算 10/40GE Mesh 网状网 40/100 Blade switch or top-of-rack pizzabox Moving 刀片式交换机或 Back Aggregation In 1990s: Decentralized Computing Switch Layer 架顶式(ToR)比萨盒服务器 又向内转移 汇聚交换机层 上世纪90年代:分布式计算 Moving Outside 向外转移 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 10
  • 12. 含有百万台服务器的数据中心 Million Server Data Center 冷却:用水循环的高效率冷却系统 结构:一个占地2.4万平方米的建筑 ,与传统冷却系统相比,能量密度 物中安装了400个容器。这些容器由 较低,通过容器循环冷水以去除热 卡车运抵,连到凸脊式基础设施上 电源:两个电源子站总共向 量,因此房间无需装空调。 ,这种基础设施提供网络连接、电 数据中心提供300MW电力, 源和水。数据中心没有照惯例提高 其中200MW用于计算设备, 地板。 其余100MW消耗在冷却和电 量损失上。电池和发电机提 供备份电源。 Power & water distribution 功率和水的分配 Water-based cooling system 采用水循环 的冷却系统 容器:每个容积为67.5立 方米的容器中都安装了 2500台服务器,而在常规 数据中心中,同样大小的 空间所能容纳的服务器约 Racks of Truck carrying 为其1/10。每个容器都集 servers Power container 成了计算、网络、电源和 服务器 supply 容器由卡车 冷却系统。 机架 电源 运抵 Source: IEEE Spectrum Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 11
  • 13. 数据中心架构的作用 Data Center Fabric Role 100s of Data Center servers may be involved per transaction/request  large multiplier between Internet facing capacity and internal capacity Internet互联网 每项交易/请求也许涉及100台数据中心服务器 Request请求 互联网连接容量和内部容量之间相差很大的倍数 Response响应 Data Center Interconnect 数据中心互连 ToR Switch ToR Switch ToR Switch For deployments in the 200-2000 node range ToR交换机 ToR交换机 ToR交换机 the interconnect (*) represents ~1/30th of the rack space, ~1/10th of the cost 对于200至2000个节点的部署规模来说 ,互连(*)占用1/30的机架空间,同 时约占其成本的1/10 Rack servers Rack servers Rack servers 机架式服务器 机架式服务器 机架式服务器 (*) 10G based interconnect, including NIC,QSFP transceivers, and cables, non-redundant model, no storage interconnect (*)基于10G的互连,包括NIC、QSFP收发器和电缆,非冗余模式,无存储系统互连 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 12
  • 14. 数据中心大容量交换机面临的挑战 Data Center Scale Switch Challenges C0-0 C0-1 C0-31 C0-0 C0-1 C0-31 C0-0 C0-1 C0-31 Aggregation & Core B0-0 B0-1 B0-63 B0-0 B0-1 B0-63 B0-0 B0-1 B0-63 汇聚与核心 32x10GE 32x10GE 32x10GE 32x10GE 32x10GE 32x10GE 32x10GE 32x10GE 32x10GE Large L2 Networks 大型 L2 网络 Fat Tree 粗树 ToR ToR MapReduce, reduce A-0 A-1 A-2047 N:1 overload events and Oversubscription port speed mismatch MapReduce,减少过 32x10GE 32x10GE 32x10GE 超负载 载事件和端口速度 失配 • Traditional B/W hierarchy does not reach DC scale 传统带宽体系达不到数据中心容量要求 – Backplanes are not faster than links anymore 背板速度不再高于链路 Radix 64 - CLOS Cost Per Port Total Cost Per Port – 10:1 link speed ratios are not sufficient aggregation 10:1的链路速度比使汇聚不够充分 • Multipathing enables large L2/L3 data center: • 多路径可实现大规模L2/L3数据中心: – Solves Spanning Trees limits 解决生成树受限问题 – Solves Rebalancing difficulties of ECMP/LAG static hashes 克服ECMP/LAG静态散列重平衡的难题 • Spatial aggregation has a cost effective capacity curve 空间汇聚具有经济实惠的容量曲线 – Proven in large HPTC clusters with non blocking workload demands across various 0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 technologies 在大型HPTC集群中、在采用各种不同技术的非阻塞工作量需求情 况下得到证实 Servers – Uses uniform building blocks (i.e.: Broadcom XGS switch family) 采用一致的基本构件(即Broadcom XGS交换器系列) Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 13
  • 15. I/O技术的演进 Evolution of I/O Technology 100 Gb/s 10 Gb/s 1 Gb/s 0.1 Gb/s 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 14
  • 16. 数据中心演进:以10GbE作为统一架构 The Data Center Evolution:10 GbE As the Unifying Fabric 10 GbE Switch and Client ASSP Port Shipments Today’s Data Center 10GbE交换机和客户ASSP端口交付量 Tomorrow’s Converged Network 16000 10 GbE Client 10 GbE Switch 14000 12000 10000 Thousands 8000 6000 4000 2000 0 2007 2008 2009 2010 2011 2012 Source: Linley 3/2010 数据来源:Linley公司,2010年3月 * Forecast does not include Uplink ports on GbE switches. 不包括GbE交换机上行链路端口的预测数据 * Forecast includes ports using merchant silicon or OEM developed ASICs 预测数据考虑了采用商用芯片或OEM开发的ASIC芯片的端口 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 15
  • 17. 速率与接口 Speeds and Interfaces Backplane 24 X 10G Front Panel Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 16
  • 18. 热插拔 10G 模块比较 Hot Pluggable 10G Module Comparison SFP / SFP+ (1G/2G/4G/8G/10G) XFP 0.52" x 1.6" x 0.33" 0.65" x 2.3" x 0.33" XPAK or X2 XENPAK 1.3″ x 2.4″ x.5″ 2" x 5" x 0.88" 1W 1.5W 4.5W 6W Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 17
  • 19. 具有10G和40G端口的1U架顶式交换机 1U Top of Rack Switches with 10G and 40G Ports 48 X 10G SFP+ Ports + 4 X 40G QSFP Ports 48 X 10G SFP+端口+4 X 40G QSFP端口 480G Down Links + 160G Up Links = 640 Gbps (3:1 OS) 480G下行链路+160G上行链路=640Gbps(3:1 OS) 32 X 40G QSFPs 960G Down Links + 320G Up Links = 1280 Gbps (3:1 OS) 960G下行链路+320G上行链路=1280Gbps(3:1 OS) BCM5684x Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 18
  • 20. 10G / 40G XGS Based Chassis基于10G/40G XGS的机架 方框图和属性(以5Tbps和10Tbps为例) Block Diagram and Attributes (5 and 10Tbps examples) 5 Tbps 10 Tbps Flexible switch line card configuration Full mesh backplane Utilizing 10G + 40G uplinks distributed fabric examples 灵活的交换机线卡配置 采用10G+40G上行链路 全网状背板 分布式架构举例 … … … … … … … … 64 x 10G Line Card 16 x 40G Line Card 64 x 10G Line Card 16 x 40G Line Card 64 x 10G线卡 16 x 40G线卡 64 x 10G线卡 16 x 40G线卡 5.12 Tbps, 8 slot Up to 10.24 Tbps, 16 slot 5.12Tbps,8槽 高达10.24Tbps,16槽 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 19
  • 21. 可扩展架构模块化交换机 Scalable Fabric Modular Switch • Acquisition of Dune Networks provides the next level of switching capacity 收购Dune Networks提供了下一级的交换能力 • Most scalable switching architecture based on SAND >30K servers 大部分可扩展交换架构基于SAND >30K服务器 • Strictly non-blocking – highest utilization of the networks resources 严格的无阻碍 - 最多的利用网络资源 • Dynamically load balancing across the data center 在整个数据中进行实时的负载平衡 • Efficient single hop packet processing with end-to-end scheduling 通过端至端调度实现高效单独跳包处理 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 20
  • 22. 架构可扩展的模块式交换机 Scalable Fabric Modular Switch Carrier Grade MAC Integrated TM and Fabric Element with Integrated TM Fabric Access (FE) 集成了TM的运营商级MAC 集成的TM和架构接入 架构组件(FE) ECAD R LIN ECAD R LIN Integrated MAC, PP, TM and Fabric Access 集成的MAC、PP、 TM和架构接入 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 21
  • 23. 具有LOM功能的统一架构: 可面向任何融合网络协议进行配置 LOM-able Unified Fabric: Configure for Any Converged Network Protocol Single-chip LOM-able Solution! 具有LOM功能的单芯片解决方案! FCoE, iSCSI & TCP / IP Traffic FCoE, iSCSI和TCP/IP流量 Fibre Channel Storage Local Area Network iSCSI Storage Area Network 局域网 Area Network 光纤通道存储域网 iSCSI存储域网 Market Leading Performance – iSCSI and FCoE 市场领先的性能 - iSCSI和FCoE Next-Gen 下一代 BCM57711 BCM57711 >1M >500K IOPS >500K IOPS IOPS! Only vendor with simultaneous per port capability: Network + iSCSI + FCoE 惟一一个每端口同时提供多种功能的厂商:网络+iSCSI+FCoE Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 22
  • 24. 提高数据中心功率效率: 卸载显著提高性能/W Improve Data Center Power Efficiency: Offload Significantly Improves Performance / Watt MBps vs CPU vs Watts 35% Data Center Web, Power Copy, OS 33% File File Load, Streaming Media, Paging Server, Database Video Rendering, 数据中心功率 30% IPTV 30% 250 1200 25% Loading % 20% 200 18% 1000 15% 800 Watts / %CPU 150 9% MBps 10% 600 5% 100 3% 5% 1% 1% 400 0% 50 Lighting Switch UPS / PDU IT Chiller CRAC Humidifier 200 照明 Gear Generator Equipment 冷却器 加湿器 交换设备 UPS/发电机 IT 设备 0 Equipment Categories 设备类别 0 512 1024 2048 4096 8192 16384 32768 65536 131072 262144 524288 1048576 Offload • Improved PUE (Power Utilization Efficiency) 更高的PUE(功率利用效率) 57711 iSCSI Offload – Sum of WATTS Provides iSCSI Offload – Sum of MBps 57711 • Permanentofpower savings for right-sizing 因大小合适而长久节省功率 Data Centers 50-70%Sum MBpspower savings 额外节省50%-70%的功率 Competitor’s L2 – additional Competitor’s L2 – Sum of WATTS 卸载为数据中心提供 Lowers non-IT infrastructure CAPEX 降低非IT基础设施的CAPEX Broadcom hardware offload saves ~60W per port of power while delivering higher throughput Broadcom硬件卸载每端口节省约60W功率,同时提供更高的吞吐量 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 23
  • 25. Broadcom实现节能以太网 Broadcom Enabling Energy Efficient Ethernet Comprehensive Energy-Efficient Ethernet portfolio includes 完整的节能以太网产品包括 10/100/1000BASE-T PHYs • 10GBASE-T PHYs • Gig E and 10GE controllers Switches • SMB switches Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 24
  • 26. 未来的方向 - 在云中的虚拟化交换环境 Future Directions – Virtualized Switching Environments in the Cloud Virtual Ethernet Bridge Virtual Ethernet Port Multichannel Remote Replication (VEB) 虚拟以太网桥(VEB) Aggregation (VEPA)虚拟以太 多通道 远程复制 MAC+VID to steer frames 网端口汇聚(VEPA) Uses tag for remote ports Uses tag to replicate packets MAC+VID控制帧 MAC+VID to steer frames 使用远程端口标记 使用标记来复制数据包 • Emulates 802.1 bridge MAC+VID控制帧 模仿802.1桥 • Exploits 802.1 bridge • Exploits provider bridge • Extends Multichannel 利用802.1桥 利用提供商的桥 扩展多通道 • Existing implementations (vSwitch, SR-IOV bridge) • Works with many existing bridges • Similarities to remote • Optimizes multicast delivery 已有部署(vSwitch,SR-IOV桥) (hairpin) service Interface 优化多播交付 与很多已有桥一起运行(发夹式) 与远程服务接口类似 • Works with all existing bridges • Enables external cascading 与全部已有桥一起运行 • No changes to existing frame format • Uses existing frame formats (S-tags) 利用已有帧格式(S-tags) 实现外部级联 • No changes to existing frame format 不改变已有帧格式 不改变已有帧格式 • Full bridge visibility • Creates bridge virtual ports • Defines new tag format 桥完全可见 建立桥虚拟端口 定义新的标记格式 • Limited bridge visibility 桥的可见性有限 • Access to bridge features • Defines restricted s-component • Defines new name space 使用桥功能 定义受限制的s-分量 定义新的名字空间 • Limited feature set 功能有限 • Constrained performance • Access to bridge features • Best local performance 使用桥功能 最佳的本地性能 性能受限 • Leverages VEB resources • Adjacent bridge multicast replication • Legacy, pervasive solution (constrained performance) 利用VEB资源 传统的、无处不在的解决方案 邻接桥多播复制(性能受限) Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 25
  • 27. 结论 Conclusions • Next generation large scale data centers can be built utilizing Converged Ethernet Fabrics 新一代大规模数据中心可以利用融合以太网架构来搭建 • 10G, 40G and 100G provide the scale and capacity to implement the large switching infrastructures that are required to support 10,000s of servers 10G、40G和100G提供实现大型交换基础设施所需的规模和容量,要求 这样的基础设施支持1万台服务器 • 10G and future 40G Ethernet Controllers with off-load technologies will enable efficient I/O and high performance computing 采用卸载技术的10G和未来的40G以太网控制器将实现高效率I/O和高性 能计算 • Current and next generation Switch and Controller devices from companies like Broadcom will allow OEMs to build cost effective Data Center networking equipment Broadcom等公司提供的目前和下一代交换机和控制器用器件将使OEM能 够开发经济实惠的数据中心网络设备 Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved. 26
  • 28. 谢 谢! www.broadcom.com Broadcom Proprietary & Confidential. © 2010 Broadcom Corporation. All rights reserved.
  • 29. www.cloudcomputingchina.org www.broadcom.com