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OpenStack Ahmad Tfaily
Jalal Mostafa
Agenda
1.Before Openstack
2.Profile of Openstack
3.OpenStack Architecture and Components
4.OpenStack, SDN & NFV in Telco Environments
5.CERN Cloud Architecture
6.China Mobile
7.AT&T
2
CONVENTIONAL DATA CENTRE
❖ Known for having a lot of hardware that is, by current standards at least,
grossly underutilized
❖ All the hardware and their software are usually managed with relatively
little automation.
❖ Very hard to find the right balance between capacity and utilization
❖ Variety of Applications
3
Manual Intervention
❖Problem: Network Integration, Monitoring, Setting up high availability and
Billing
❖Not hard to automate
❖Existing automation frameworks like Puppet, Chef, JuJu, Crowbar or
Ansible are sufficient to automate the whole process
❖Virtualization:
• Deploying a new system is fairly easy via provisioning a new VM
• Yet, many things need to be done manually
4
Advantages of Automation
❖Cloud provider’s task: provide customers with resources and ensure it is
enough any time
❖Cloud provider adds more resources when needed
❖Automation can facilitate flexibility of the new resources in terms of
network integration, monitoring, etc…
❖Users can start and stop VM in clicks
5
Automation
❖Authorization Scheme: that matches clients’ requirements e.g. managers
stop/start VM while Administrators can add/remove VMs
❖Image Management: upon creating new VMs, clouds need pre-made
images so that users do not have to install OSs by themselves
❖Resources Management e.g. processing power, storage, and network
❖Existing cloud solutions: OpenNebula by NASA, OpenQRM, Eucalyptus
and OpenStack
6
Profile OpenStack
7
Introduction
❖An open source cloud platform.
❖Controls large pools of compute, storage, and networking
resources throughout a datacenter.
❖All managed by a dashboard that gives administrators control
while empowering their users to provision resources through a web
interface.
8
OpenStack History
9
OpenStack Architecture
and Components
OpenStack
10
OpenStack Architecture
11
OpenStack Releases
12
OpenStack Modules
13
Components of Release
14
Edition Release
name
Release date component
1 Austin 21 October 2010 Nova, Swift
2 Bexar 3 February 2011 Nova, Glance, Swift
5 Essex 5 April 2012 Nova, Glance, Swift, Horizon, Keystone
6 Folsom 27 September 2012 Nova, Glance, Swift, Horizon, Keystone, Quantum,
Cinder
7 Havana 17 October 2013 Nova, Glance, Swift, Horizon, Keystone, Neutron,
Cinder, Heat, Ceilometer
Component of Release
15
Edition Release
name
Release
date
component
8 Icehouse 17 April
2014
Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder,
Heat, Ceilometer, Trove
9 Juno 16 October
2014
Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder,
Heat, Ceilometer, Trove, Sahara
14 Newton 6 October
2016
Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder,
Heat, Ceilometer, Trove, Sahara, Ironic, Zaqar, Manila,
Designate, Barbican, Searchlight, Magnum, aodh, cloudkitty,
congress, freezer, mistral, monasca-api, monasca-log-api,
murano, panko, senlin, solum, tacker, vitrage, watcher
High Level Architecture
16
OpenStack Components
❖ Compute (Nova)
❖ Networking (Neutron)
❖ Block Storage (Cinder)
❖ Identity (Keystone)
❖ Image (Glance)
❖ Object Storage (Swift)
❖ Dashboard (Horizon)
❖ Orchestration (Heat)
❖ Workflow (Mistral)
17
❖ Telemetry (Ceilometer)
❖ Database (Trove)
❖ Elastic Map Reduce (Sahara)
❖ Bare Metal (Ironic)
❖ Messaging (Zaqar)
❖ Shared File System (Manila)
❖ DNS (Designate)
❖ Search (Searchlight)
❖ Key Manager (Barbican)
Horizon
❖A dashboard provides
administrators and users a
graphical interface to access.
❖such as billing, monitoring,
and additional management
tools for
18
Nova
❖Provides compute as a service
❖The main part of an IaaS system
❖It is designed to manage and automate pools of computer resources
❖Compute's architecture is designed to scale horizontally
19
Nova - Components
20
Nova - Components
❖nova-conductor: Provides database-access support for Compute nodes
❖nova-consoleauth: Handles console authentication
❖nova-novncproxy: Provides a VNC proxy for browsers
21
Nova API
❖nova-api is responsible to provide an API for users and services to
interact with NOVA
22
Nova-scheduler:
❖Using Filters dispatches requests for new virtual machines to the correct
node.
23
Nova-compute
24
Keystone
❖Keystone is the identity service used for Authentication
❖Set of assigned user rights and privileges for performing a specific set of
operations
❖A user token issued by Keystone includes a list of that user’s roles.
Services then determine how to interpret those roles
25
Keystone sequence diagram
26
Keystone: auth flow
27
Glance
❖The Glance project provides services for discovering, registering, and
retrieving virtual machine images.
❖Glance has a RESTful API that allows querying of VM image metadata as
well as retrieval of the actual image.
28
Glance Architecture
29
Cinder
❖Architected to provide traditional block-level storage resources to
other OpenStack services
❖Presents persistent block-level storage volumes for use with
OpenStack Nova compute instances
❖Manages the creation, attaching and detaching of these volumes
between a storage system and different host servers
30
Cinder Architecture
31
Cinder
32
Swift
❖ A distributed object storage system designed to scale from a single
machine to thousands of servers
❖ optimized for multi-tenancy and high concurrency
❖ •ideal for backups, web and mobile content, and any other
unstructured data that can grow without bound.
❖ Swift provides a simple, REST-based API
33
Swift Components
34
Swift Architecture
35
Ceilometer
❖OpenStack Telemetry provides common infrastructure to collect usage
and performance measurements within an OpenStack cloud.
❖ Its primary initial targets are monitoring and metering
❖collect data for other needs.
❖Ceilometer was promoted from incubation status to an integrated
component of OpenStack.
36
Ceilometer Workflow
37
❖Collect from OpenStack components
❖Transform meters into other meters if necessary
❖Publish meters to any destination (including Ceilometer itself)
❖Store received meters and read them via the Ceilometer REST
API
Ceilometer Architecture
38
Trove
❖OpenStack Database as a Service
❖high performance ,scalable and reliable
❖relational and non-relational database engines
❖Trove was promoted from incubation status to an
integrated component of OpenStack.
39
Trove Architecture
40
Sahara
❖OpenStack Hadoop as a Service
❖Aims to provide users with simple means to provision a Hadoop cluster
by specifying several parameters
❖ Sahara was promoted from incubation status to an integrated
component of OpenStack.
41
Sahara Architecture
42
Manila
❖OpenStack File Share Service
❖Provides coordinated access to shared or distributed file systems.
❖Manila was officially denoted as an incubated OpenStack program
during the Juno release cycle.
43
Manila Architecture
44
Manila Workflow
45
Neutron
❖Network as a Service (NaaS)
❖Provides REST APIs to manage network connections for the
resources managed by other OpenStack Services
❖Complete control over the following network resources in
OpenStack(Networks, Ports and Subnets)
❖Build complex network topologies
❖Limited L3 functionality (IP tables rules at host level)
46
Neutron Architecture
47
Neutron Plug-Ins
❖Modular Layer 2 (ML2)
❖Linux Bridge
❖Open vSwitch
48
Neutron Services
❖Load Balancer as a Service (LBaaS)
❖Virtual Private Network as a Service (VPNaaS)
❖Firewall as a Service (FWaaS)
49
Neutron Components
50
Neutron Components
❖Neutron Server
• Implement REST APIs
• Enforce network model
• Network, subnet, and port
• IP addressing to each port (IPAM)
❖Plugin agent
• Run on each compute node
• Connect instances to network port
❖Queue
• Enhance communication between each
• components of neutron
❖Database
• Persistent network model
51
Neutron Components
❖DHCP Agent (*)
• In multi-host mode, run on each compute node
• Start/stop dhcp server
• Maintain dhcp configuration
❖L3 Agent (*)
• To implement floating Ips and other L3 features,such as NAT
• One per network
52
OpenStack Network ML2
53
OpenStack Network ML2
54
Example
55
OpenStack, SDN & NFV in
Telco Environments
OpenStack
56
Transformation of Carriers
Business Model
❖Complex and expensive infrastructure
• Challenging to operate and maintain
• slow rolling out of new services
❖Cloud-based Model
• Always-on services
• Affordable
• Reliable
• First attempt: Cloud RAN
57
Production Ready: NFV with
OpenStack
❖Deployed on cost effective Commercial Off-The-Shelf (COTS) hardware
❖Based on Open Source Software
• Can be easily adapted to any customization
• Community Driven
❖Standard APIs
❖Software-managed High Availability (HA)
❖AUtomated Deployment
❖Virtualized Infrastructure
• Scalable
• Upgradable
• Optimizable
• Modular
• Customizable
58
Production Ready: NFV + SDN +
OpenStack
Software Defined Components
Resilient and Reliable
Flexible and Extensionable
Optimized for Performance
Secure
59
Carrier Benefits
❖Network Operations Benefits
• Ease of automation
• Increased Deployment Agility
• Visibility with monitoring and alerting
• Reliable
• Self Healing
• Highly Available
❖Cost Benefits
• Multi-tenant
• Flexible
❖Secure at Each Layer of the stack
60
OPNFV + OpenStack
❖OPNFV is a carrier-grade, integrated, open source platform for NFV
products and services
• widespread collaboration across many telco
• uses OpenStack as Virtualized Infrastructure Manager
❖Telco running NFV implementations includes AT&T, China Mobile,
Orange, SK Telecom and Telecom Italia
61
OPNFV + OpenStack
62
OPNFV + OpenStack
“We are fully committed to open networking and open source including our
work with OPNFV and OpenStack” - Alex Zhang, Principal Architect, China
Mobile
“To keep up with the exponential growth of its network, AT&T is deeply
committed to using open source networking technologies in our software-
centric network. As we work to virtualize more of our network and implement
a common infrastructure for VNFs, OpenStack and OPNFV will become
important parts of our technology stack” - Margaret Chiosi, Distinguished
Technical Architect, AT&T
63
Case Study: vCPE
❖vCPE: Virtual Customer-Premises
Equipment
❖Existing Solution:
• Edge networking devices are
standalone nodes
• Provide advanced services (QoS,
Dynamic Routing, NAT…)
• Complex software, prone to failure
• Cheap Hardware, prone to failure
• Cannot be easily Upgraded or serviced
64
Case Study: vCPE
❖ Apply SDN, NFV and OpenStack to
the network
❖Move Control Plane to core network
❖Keep Data Plane at customer
premises with additional
microservices
❖Benefits
• Reduce CAPEX and OPEX
• Improve service agility
• Deliver personalized services
• Transition to SaaS-based business 65
CERN Cloud Architecture OpenStack
66
What is CERN?
❖European Organization for Nuclear Research
❖Founded in 1954
• 21 state member
• other countries contribute to experiments
❖Situated in the Swiss-French border
❖Do fundamental research
67
CERN’s Large Hadron Collider
❖Biggest machine in the world
❖27km Tall - 175m underground
❖Accelerate 2 particle beams
traveling near speed of light
❖Beams collide in 4 different points
of detectors
❖Detectors are 100 MP digital
cameras 14000000 times in a
second
❖Generates 25 PetaBytes per year
• Estimated 400 PB / year by 2023
68
CERN Data Centers
❖2 Data Centers; one in Geneva and another in Budapest
❖Data Centers are managed by OpenStack
❖190k+ cores on 5000+ compute nodes running KVM and Hyper-V
❖16000+ VMs
❖~160 PetaBytes stored at CERN
❖June-August 2016: recorded > 0.5 PB
❖2400+ Images, 2000+ Users, 2500+ Projects
69
❖CERN deployed OpenStack in 2013
❖Nova, Keystone, Glance, Heat, Horizon, Ceilometer, Rally
❖26 Nova cells
• Single endpoint to users
• Scale transparently between Data Centres
• Availability and Resilience
• Isolate different use-cases
❖HA only in the top cell
❖2 Ceph instances
• A free-software storage platform, implements object storage on a single distributed
computer cluster
OpenStack at CERN
70
OpenStack at CERN
71
Nova Deployment at CERN
72
Nova - Cell Scheduling
❖ Different Cells has different hardware, configuration, hardware,
Hypervisor type
❖Cell Scheduling is the process to schedule operations according to cell
capabilities e.g. hardware, availability
❖Schedulers filters to use these capabilities
❖It enables mapping projects to cells and restrict cell usage according to
project type
73
Nova-Network? in CERN
❖CERN uses Nova-Network instead of Neutron
• An OpenStack networking module before Neutron
• Deprecated
• Better than Neutron in some use cases
• Planned to migrate to Neutron
❖ Migration to Neutron, No Use of:
• SDN or tunneling
• Only provider networks
• Flat networking. VMs directly connected to the real network
• Floating IPs
• DHCP or DNS Neutron services. Already have infrastructure
74
Keystone in CERN
❖Two different keystone
infrastructure
• Exposed to users
• Dedicated to Ceilometer
❖Keystone nodes are VMs
❖Integrated with Active Directory
❖Project lifecycle
• ~200 arrivals/departures / month
• Users subscribe to the cloud
service
• Limited Quota of personal projects
• Shared projects created by
request
75
Glance in CERN
❖Uses Ceph backend in Geneva
❖Glance Nodes are VMs
❖Two sets of nodes: Exposed to user and Ceilometer
❖No Glance image cache
76
Cinder in CERN
❖Ceph and NetApp backends
❖Extended list of available volume types (QoS, Backend, Location)
❖Cinder nodes are VMs
77
Ceilometer in CERN
78
China Mobile OpenStack
79
Who is China Mobile?
❖One of the world’s largest telecommunication service providers
• Huge network scale
• Huger customer base
• Large market value
❖At end of 2014
• 800M+ subscribers
• 2.2M+ base stations
• Covered more than 99% of the population of PRC
80
NovoNet
❖Vision for the next-generation
network by 2020
❖High-quality intelligent network
❖Based SDN and NFV
81
NovoNet
❖Firstly deploy in Cloud Data Centers
and Packet Transport Networks
(PTN)
❖Using OpenStack and
OpenDayLight
❖Goal: Build out several enterprise
service offerings under NovoDC
including a virtual private cloud
82
NovoNet
83
AT&T OpenStack
84
Who is AT&T?
❖American multinational telecommunications
❖Already handling 114 PB a day of data
❖By 2020, At&T network is expected to jump 10 folds
❖Global Customers
85
AT&T Future Network
❖Move 75 percent of its network infrastructure to the cloud
❖Make greater use of software-defined networking (SDN) with
OpenDaylight and Open vSwitch
❖Goal: Reduce deployment times for cloud "zones" from months to days
❖Use OpenStack tools to develop an end-user "resource manager"
❖Working on AT&T Integrated Cloud (AIC)
• 74 AIC zones in 2015
• 105 AIC zones in 2016
• 1000+in 2020
• All running OpenStack
86
References
❖http://openstack.org
• Tokyo Summit 2015 https://www.openstack.org/summit/tokyo-2015/
• Austin Summit 2016 https://www.openstack.org/summit/austin-2016/
• Barcelona Summit 2016
• https://wiki.openstack.org/
❖http://linux.com
• Linux Foundation Blog
https://www.linux.com/blog/learn/chapter/openstack/essentials-openstack-
administration-part-1-cloud-fundamentals
❖https://www.opnfv.org/
❖https://www.sdxcentral.com/cloud/open-source/definitions/
❖https://www.opendaylight.org/news/user-story/2015/11/china-mobile-
builds-next-generation-network-opendaylight
❖http://about.att.com/innovationblog/openstack_superuser
87

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OpenStack Architecture and Use Cases

  • 2. Agenda 1.Before Openstack 2.Profile of Openstack 3.OpenStack Architecture and Components 4.OpenStack, SDN & NFV in Telco Environments 5.CERN Cloud Architecture 6.China Mobile 7.AT&T 2
  • 3. CONVENTIONAL DATA CENTRE ❖ Known for having a lot of hardware that is, by current standards at least, grossly underutilized ❖ All the hardware and their software are usually managed with relatively little automation. ❖ Very hard to find the right balance between capacity and utilization ❖ Variety of Applications 3
  • 4. Manual Intervention ❖Problem: Network Integration, Monitoring, Setting up high availability and Billing ❖Not hard to automate ❖Existing automation frameworks like Puppet, Chef, JuJu, Crowbar or Ansible are sufficient to automate the whole process ❖Virtualization: • Deploying a new system is fairly easy via provisioning a new VM • Yet, many things need to be done manually 4
  • 5. Advantages of Automation ❖Cloud provider’s task: provide customers with resources and ensure it is enough any time ❖Cloud provider adds more resources when needed ❖Automation can facilitate flexibility of the new resources in terms of network integration, monitoring, etc… ❖Users can start and stop VM in clicks 5
  • 6. Automation ❖Authorization Scheme: that matches clients’ requirements e.g. managers stop/start VM while Administrators can add/remove VMs ❖Image Management: upon creating new VMs, clouds need pre-made images so that users do not have to install OSs by themselves ❖Resources Management e.g. processing power, storage, and network ❖Existing cloud solutions: OpenNebula by NASA, OpenQRM, Eucalyptus and OpenStack 6
  • 8. Introduction ❖An open source cloud platform. ❖Controls large pools of compute, storage, and networking resources throughout a datacenter. ❖All managed by a dashboard that gives administrators control while empowering their users to provision resources through a web interface. 8
  • 14. Components of Release 14 Edition Release name Release date component 1 Austin 21 October 2010 Nova, Swift 2 Bexar 3 February 2011 Nova, Glance, Swift 5 Essex 5 April 2012 Nova, Glance, Swift, Horizon, Keystone 6 Folsom 27 September 2012 Nova, Glance, Swift, Horizon, Keystone, Quantum, Cinder 7 Havana 17 October 2013 Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder, Heat, Ceilometer
  • 15. Component of Release 15 Edition Release name Release date component 8 Icehouse 17 April 2014 Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder, Heat, Ceilometer, Trove 9 Juno 16 October 2014 Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder, Heat, Ceilometer, Trove, Sahara 14 Newton 6 October 2016 Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder, Heat, Ceilometer, Trove, Sahara, Ironic, Zaqar, Manila, Designate, Barbican, Searchlight, Magnum, aodh, cloudkitty, congress, freezer, mistral, monasca-api, monasca-log-api, murano, panko, senlin, solum, tacker, vitrage, watcher
  • 17. OpenStack Components ❖ Compute (Nova) ❖ Networking (Neutron) ❖ Block Storage (Cinder) ❖ Identity (Keystone) ❖ Image (Glance) ❖ Object Storage (Swift) ❖ Dashboard (Horizon) ❖ Orchestration (Heat) ❖ Workflow (Mistral) 17 ❖ Telemetry (Ceilometer) ❖ Database (Trove) ❖ Elastic Map Reduce (Sahara) ❖ Bare Metal (Ironic) ❖ Messaging (Zaqar) ❖ Shared File System (Manila) ❖ DNS (Designate) ❖ Search (Searchlight) ❖ Key Manager (Barbican)
  • 18. Horizon ❖A dashboard provides administrators and users a graphical interface to access. ❖such as billing, monitoring, and additional management tools for 18
  • 19. Nova ❖Provides compute as a service ❖The main part of an IaaS system ❖It is designed to manage and automate pools of computer resources ❖Compute's architecture is designed to scale horizontally 19
  • 21. Nova - Components ❖nova-conductor: Provides database-access support for Compute nodes ❖nova-consoleauth: Handles console authentication ❖nova-novncproxy: Provides a VNC proxy for browsers 21
  • 22. Nova API ❖nova-api is responsible to provide an API for users and services to interact with NOVA 22
  • 23. Nova-scheduler: ❖Using Filters dispatches requests for new virtual machines to the correct node. 23
  • 25. Keystone ❖Keystone is the identity service used for Authentication ❖Set of assigned user rights and privileges for performing a specific set of operations ❖A user token issued by Keystone includes a list of that user’s roles. Services then determine how to interpret those roles 25
  • 28. Glance ❖The Glance project provides services for discovering, registering, and retrieving virtual machine images. ❖Glance has a RESTful API that allows querying of VM image metadata as well as retrieval of the actual image. 28
  • 30. Cinder ❖Architected to provide traditional block-level storage resources to other OpenStack services ❖Presents persistent block-level storage volumes for use with OpenStack Nova compute instances ❖Manages the creation, attaching and detaching of these volumes between a storage system and different host servers 30
  • 33. Swift ❖ A distributed object storage system designed to scale from a single machine to thousands of servers ❖ optimized for multi-tenancy and high concurrency ❖ •ideal for backups, web and mobile content, and any other unstructured data that can grow without bound. ❖ Swift provides a simple, REST-based API 33
  • 36. Ceilometer ❖OpenStack Telemetry provides common infrastructure to collect usage and performance measurements within an OpenStack cloud. ❖ Its primary initial targets are monitoring and metering ❖collect data for other needs. ❖Ceilometer was promoted from incubation status to an integrated component of OpenStack. 36
  • 37. Ceilometer Workflow 37 ❖Collect from OpenStack components ❖Transform meters into other meters if necessary ❖Publish meters to any destination (including Ceilometer itself) ❖Store received meters and read them via the Ceilometer REST API
  • 39. Trove ❖OpenStack Database as a Service ❖high performance ,scalable and reliable ❖relational and non-relational database engines ❖Trove was promoted from incubation status to an integrated component of OpenStack. 39
  • 41. Sahara ❖OpenStack Hadoop as a Service ❖Aims to provide users with simple means to provision a Hadoop cluster by specifying several parameters ❖ Sahara was promoted from incubation status to an integrated component of OpenStack. 41
  • 43. Manila ❖OpenStack File Share Service ❖Provides coordinated access to shared or distributed file systems. ❖Manila was officially denoted as an incubated OpenStack program during the Juno release cycle. 43
  • 46. Neutron ❖Network as a Service (NaaS) ❖Provides REST APIs to manage network connections for the resources managed by other OpenStack Services ❖Complete control over the following network resources in OpenStack(Networks, Ports and Subnets) ❖Build complex network topologies ❖Limited L3 functionality (IP tables rules at host level) 46
  • 48. Neutron Plug-Ins ❖Modular Layer 2 (ML2) ❖Linux Bridge ❖Open vSwitch 48
  • 49. Neutron Services ❖Load Balancer as a Service (LBaaS) ❖Virtual Private Network as a Service (VPNaaS) ❖Firewall as a Service (FWaaS) 49
  • 51. Neutron Components ❖Neutron Server • Implement REST APIs • Enforce network model • Network, subnet, and port • IP addressing to each port (IPAM) ❖Plugin agent • Run on each compute node • Connect instances to network port ❖Queue • Enhance communication between each • components of neutron ❖Database • Persistent network model 51
  • 52. Neutron Components ❖DHCP Agent (*) • In multi-host mode, run on each compute node • Start/stop dhcp server • Maintain dhcp configuration ❖L3 Agent (*) • To implement floating Ips and other L3 features,such as NAT • One per network 52
  • 56. OpenStack, SDN & NFV in Telco Environments OpenStack 56
  • 57. Transformation of Carriers Business Model ❖Complex and expensive infrastructure • Challenging to operate and maintain • slow rolling out of new services ❖Cloud-based Model • Always-on services • Affordable • Reliable • First attempt: Cloud RAN 57
  • 58. Production Ready: NFV with OpenStack ❖Deployed on cost effective Commercial Off-The-Shelf (COTS) hardware ❖Based on Open Source Software • Can be easily adapted to any customization • Community Driven ❖Standard APIs ❖Software-managed High Availability (HA) ❖AUtomated Deployment ❖Virtualized Infrastructure • Scalable • Upgradable • Optimizable • Modular • Customizable 58
  • 59. Production Ready: NFV + SDN + OpenStack Software Defined Components Resilient and Reliable Flexible and Extensionable Optimized for Performance Secure 59
  • 60. Carrier Benefits ❖Network Operations Benefits • Ease of automation • Increased Deployment Agility • Visibility with monitoring and alerting • Reliable • Self Healing • Highly Available ❖Cost Benefits • Multi-tenant • Flexible ❖Secure at Each Layer of the stack 60
  • 61. OPNFV + OpenStack ❖OPNFV is a carrier-grade, integrated, open source platform for NFV products and services • widespread collaboration across many telco • uses OpenStack as Virtualized Infrastructure Manager ❖Telco running NFV implementations includes AT&T, China Mobile, Orange, SK Telecom and Telecom Italia 61
  • 63. OPNFV + OpenStack “We are fully committed to open networking and open source including our work with OPNFV and OpenStack” - Alex Zhang, Principal Architect, China Mobile “To keep up with the exponential growth of its network, AT&T is deeply committed to using open source networking technologies in our software- centric network. As we work to virtualize more of our network and implement a common infrastructure for VNFs, OpenStack and OPNFV will become important parts of our technology stack” - Margaret Chiosi, Distinguished Technical Architect, AT&T 63
  • 64. Case Study: vCPE ❖vCPE: Virtual Customer-Premises Equipment ❖Existing Solution: • Edge networking devices are standalone nodes • Provide advanced services (QoS, Dynamic Routing, NAT…) • Complex software, prone to failure • Cheap Hardware, prone to failure • Cannot be easily Upgraded or serviced 64
  • 65. Case Study: vCPE ❖ Apply SDN, NFV and OpenStack to the network ❖Move Control Plane to core network ❖Keep Data Plane at customer premises with additional microservices ❖Benefits • Reduce CAPEX and OPEX • Improve service agility • Deliver personalized services • Transition to SaaS-based business 65
  • 66. CERN Cloud Architecture OpenStack 66
  • 67. What is CERN? ❖European Organization for Nuclear Research ❖Founded in 1954 • 21 state member • other countries contribute to experiments ❖Situated in the Swiss-French border ❖Do fundamental research 67
  • 68. CERN’s Large Hadron Collider ❖Biggest machine in the world ❖27km Tall - 175m underground ❖Accelerate 2 particle beams traveling near speed of light ❖Beams collide in 4 different points of detectors ❖Detectors are 100 MP digital cameras 14000000 times in a second ❖Generates 25 PetaBytes per year • Estimated 400 PB / year by 2023 68
  • 69. CERN Data Centers ❖2 Data Centers; one in Geneva and another in Budapest ❖Data Centers are managed by OpenStack ❖190k+ cores on 5000+ compute nodes running KVM and Hyper-V ❖16000+ VMs ❖~160 PetaBytes stored at CERN ❖June-August 2016: recorded > 0.5 PB ❖2400+ Images, 2000+ Users, 2500+ Projects 69
  • 70. ❖CERN deployed OpenStack in 2013 ❖Nova, Keystone, Glance, Heat, Horizon, Ceilometer, Rally ❖26 Nova cells • Single endpoint to users • Scale transparently between Data Centres • Availability and Resilience • Isolate different use-cases ❖HA only in the top cell ❖2 Ceph instances • A free-software storage platform, implements object storage on a single distributed computer cluster OpenStack at CERN 70
  • 73. Nova - Cell Scheduling ❖ Different Cells has different hardware, configuration, hardware, Hypervisor type ❖Cell Scheduling is the process to schedule operations according to cell capabilities e.g. hardware, availability ❖Schedulers filters to use these capabilities ❖It enables mapping projects to cells and restrict cell usage according to project type 73
  • 74. Nova-Network? in CERN ❖CERN uses Nova-Network instead of Neutron • An OpenStack networking module before Neutron • Deprecated • Better than Neutron in some use cases • Planned to migrate to Neutron ❖ Migration to Neutron, No Use of: • SDN or tunneling • Only provider networks • Flat networking. VMs directly connected to the real network • Floating IPs • DHCP or DNS Neutron services. Already have infrastructure 74
  • 75. Keystone in CERN ❖Two different keystone infrastructure • Exposed to users • Dedicated to Ceilometer ❖Keystone nodes are VMs ❖Integrated with Active Directory ❖Project lifecycle • ~200 arrivals/departures / month • Users subscribe to the cloud service • Limited Quota of personal projects • Shared projects created by request 75
  • 76. Glance in CERN ❖Uses Ceph backend in Geneva ❖Glance Nodes are VMs ❖Two sets of nodes: Exposed to user and Ceilometer ❖No Glance image cache 76
  • 77. Cinder in CERN ❖Ceph and NetApp backends ❖Extended list of available volume types (QoS, Backend, Location) ❖Cinder nodes are VMs 77
  • 80. Who is China Mobile? ❖One of the world’s largest telecommunication service providers • Huge network scale • Huger customer base • Large market value ❖At end of 2014 • 800M+ subscribers • 2.2M+ base stations • Covered more than 99% of the population of PRC 80
  • 81. NovoNet ❖Vision for the next-generation network by 2020 ❖High-quality intelligent network ❖Based SDN and NFV 81
  • 82. NovoNet ❖Firstly deploy in Cloud Data Centers and Packet Transport Networks (PTN) ❖Using OpenStack and OpenDayLight ❖Goal: Build out several enterprise service offerings under NovoDC including a virtual private cloud 82
  • 85. Who is AT&T? ❖American multinational telecommunications ❖Already handling 114 PB a day of data ❖By 2020, At&T network is expected to jump 10 folds ❖Global Customers 85
  • 86. AT&T Future Network ❖Move 75 percent of its network infrastructure to the cloud ❖Make greater use of software-defined networking (SDN) with OpenDaylight and Open vSwitch ❖Goal: Reduce deployment times for cloud "zones" from months to days ❖Use OpenStack tools to develop an end-user "resource manager" ❖Working on AT&T Integrated Cloud (AIC) • 74 AIC zones in 2015 • 105 AIC zones in 2016 • 1000+in 2020 • All running OpenStack 86
  • 87. References ❖http://openstack.org • Tokyo Summit 2015 https://www.openstack.org/summit/tokyo-2015/ • Austin Summit 2016 https://www.openstack.org/summit/austin-2016/ • Barcelona Summit 2016 • https://wiki.openstack.org/ ❖http://linux.com • Linux Foundation Blog https://www.linux.com/blog/learn/chapter/openstack/essentials-openstack- administration-part-1-cloud-fundamentals ❖https://www.opnfv.org/ ❖https://www.sdxcentral.com/cloud/open-source/definitions/ ❖https://www.opendaylight.org/news/user-story/2015/11/china-mobile- builds-next-generation-network-opendaylight ❖http://about.att.com/innovationblog/openstack_superuser 87