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4th RICC
workshopの
ご案内
An invitation for 4th RICC workshop

第15回さくらの夕べ in 札幌

柏崎 礼生
Hiroki Kashiwazaki
小 市桂岡町から
きました
4th RICC workshop

@Okinawa
2014/3/27(Thu)∼28(Fri)
RICC
俵屋宗達: 風神雷神図

(1624ころ?)
Soutatsu Tawaraya: Fujin Raijin-zu
R 地域間
I
インタークラウド
C 分科会
C
雲内放電
Inter Cloud Lightening
RICC

4th RICC workshop

4th RICC
workshopの
ご案内

@Okinawa
2014/3/27(Thu)∼28(Fri)

An invitation for 4th RICC workshop

第15回さくらの夕べ in 札幌

柏崎 礼生

俵屋宗達: 風神雷神図

(1624ころ?)
Soutatsu Tawaraya: Fujin Raijin-zu

Hiroki Kashiwazaki

R 地域間
I
インタークラウド
C 分科会
C

90- 00

2001.9.11

the Internet

September 11 attacks

live migration of VM
between distributed areas

雲内放電

広域分散
仮想化環境
after Migration

82p/5min

Inter Cloud Lightening

TOYAMA site

2003.8.14
Northeast blackout of 2003

TOKYO site

before Migration

2011.3.11

in Japan

群馬

Copy to DR-sites

Copy to DR-sites

OSAKA site

石狩

The aftermath of the 2011
Tohoku earthquake and tsunami

Copy to DR-sites

real time and active-active features seem to be just a simple "shared storage".
Live migration is also possible between DR sites
(it requires common subnet and fat pipe for memory copy, of course)

DR

Distcloud

1978

Disaster Recovery

Sun Information Systems

Gunmma prefecture

BCP
Business Continuity Plan

2つで
十分ですよ?

Ishikari city

82p/5min
琉球大学

40

0

10MB

0

64
16

random write

40000
20000

Global VM migration is also available by sharing "storage space" by VM host machines.
Real time availability makes it possible. Actual data copy follows.
(VM operator need virtually common Ethernet segment and fat pipe for memory copy)

backend
(core servers)

File

block

block

block

block

block

block

block

block

40000
20000
0

16384
4096

256 1024
409616384
65536
262144
16
1.04858e+06
4.1943e+06
File size in 2^n KBytes
1.67772e+07 4
6.71089e+07

64

1024
256
Record size in 2^n Kbytes

POSIX準拠

TOYAMA site

NFS, CIFS, iSCSI

Copy to DR-sites

TOKYO site
before Migration

OSAKA site

propos
ed
metho
d

Copy to DR-sites

real time and active-active features seem to be just a simple "shared storage".
Live migration is also possible between DR sites
(it requires common subnet and fat pipe for memory copy, of course)

NFS
CIFS
iSCSI

r=2
e=0
ACK

r=1

block

redundancy
=3

r=0

VM

広島大学

1GB

redundancy
=3

10GB

File size

bkwd read

record rewrite

60

40

20

0

60

40

20

10MB

100MB

1GB

0

10GB

Throughput (MB/sec)

100

80

80

60

40

100MB

1GB

0

10GB

60

40

20

20

10MB

File size

80

10MB

100MB

File size

1GB

10GB

0

10MB

40

Throughput (MB/sec)

100

60

80

60

40

20

10MB

100MB

1GB

10GB

0

1GB

10GB

File size

fread

120

100

80

100MB

File size

fwrite

120

legend

従来方式 Exage/Storage
広域対応 Exage/Storage

80

SINET4 Kanazawa University EXAGE L3VPN

60

40

20

10MB

100MB

1GB

10GB

0

10MB

File size

100MB

1GB

10GB

File size

SC2013

当初の予定

2013/11/17∼22

We have been developing a widely distributed cluster storage system and
evaluating the storage along with various applications. The main advantage of
our storage is its very fast random I/O performance, even though it provides a
POSIX compatible file system interface on the top of distributed cluster storage.

@Colorado Convention Center

NFS

本番

r = -1
e=2

external

Hypervisor

shared

write

hash

100MB

r=0
e=1

r=1
e=0

r=2
ACK

consistent

Meta
Data

after Migration

Copy to DR-sites

10MB

Read (before migration)
Read (after migration)
Write (before migration)
Write (after           
migration)
            

live migration of VM
between distributed areas

interface protocl

SINET4 Hiroshima University EXAGE L3VPN

40

)

064

60000

60

0

10GB

120

Throughput (MB/sec)

File size in 2^n KBytes

t (MB/sec

Kbytes/sec

60000

High
Random R/W
Performance

80000

1GB

File size

100

Throughpu

requirement

80000

100000

100MB

100

File size

120000

80

20

10MB

120

0

100000

reread

40

120

4
256 1024 4096 1638465536 1.04858e+06
262144 4.1943e+066.71089e+07
1.67772e+07

下條真司

Shinji Shimojo @Osaka Univ, NICT

面白く
ないよね!

国際回線を

国際回線上での

本番
RTT=244ms
1Gbps

金沢大学

iozone -aceI

problems

100

60

0

10GB

100

20

120000

1GB

120

80

stride read

64

Throughput (MB/sec)

16384
4096
1024
256
64 Record size in 2^n Kbytes

100MB

Throughput (MB/sec)

256

20000

256 1024
409616384
65536
262144
16
1.04858e+06
4.1943e+06
File size in 2^n KBytes
1.67772e+07 4
6.71089e+07

CloudStack
4.0.0

120

80

20

10MB

File size

Throughput (MB/sec)

1024

40000

40000

064

40

100

Throughput (MB/sec)

60000

20000

60

0

10GB

120

4096

80000

60000

1GB

random read

16384

100000

80000

100MB

File size

120000

100000

read

100

80

20

20

Throughput (MB/sec)

60

Throughput (MB/sec)

Throughput (MB/sec)

80

XenServer 6.0.2

CloudStack
4.0.0

120

100

100

Record size in 2^n Kbytes

Distributed
Storage

rewrite

120

120

Kitami Institute of
Technology

XenServer 6.0.2

write

write

120000

SINET
最長

University of the
Ryukyus

国立情報学研究所

Throughput (MB/sec)

point of sales

RTT
> 100ms

≒50ms

shared
storage

POS

Realtime
Processing

Kbytes/sec

80- 90

mainframe
hot site

北見工大

DCダウン時の

今年は

折り返し
live migration of VM
between distributed areas
after Migration

広域分散
仮想化環境
TOYAMA site

Copy to DR-sites

TOKYO site

Copy to DR-sites

OSAKA site

Copy to DR-sites

real time and active-active features seem to be just a simple "shared storage".
Live migration is also possible between DR sites
(it requires common subnet and fat pipe for memory copy, of course)

before Migration
Distcloud
DR
Disaster Recovery
1978
Sun Information Systems
mainframe
hot site
80- 90
Realtime
Processing
POS
point of sales
90- 00
the Internet
2001.9.11
September 11 attacks
2003.8.14
Northeast blackout of 2003
in Japan
2011.3.11
The aftermath of the 2011
Tohoku earthquake and tsunami
BCP
Business Continuity Plan
群馬
Gunmma prefecture
石狩
Ishikari city
2つで
十分ですよ?
国立情報学研究所
北見工大

University of the
Ryukyus

琉球大学

SINET
最長

Kitami Institute of
Technology
XenServer 6.0.2
CloudStack
4.0.0

CloudStack
4.0.0
XenServer 6.0.2
problems
shared
storage
≒50ms
RTT
> 200ms
分散ストレージ
distributed storage
要求性能
required quality
120000
120000

Kbytes/sec

100000
80000
60000
40000
20000
064

100000

High
Random R/W
Performance

80000
60000
40000
20000
0

16384
4096

1024

256 1024
409616384
65536
262144
16
1.04858e+06
4.1943e+06
File size in 2^n KBytes
1.67772e+07 4
6.71089e+07

256
64 Record size in 2^n Kbytes
POSIX準拠
interface protocl

NFS, CIFS, iSCSI
Con$idential

Global VM migration is also available by sharing "storage space" by VM host machines.
Real time availability makes it possible. Actual data copy follows.
(VM operator need virtually common Ethernet segment and fat pipe for memory copy)
live migration of VM
between distributed areas
after Migration

TOYAMA site

Copy to DR-sites

TOKYO site
before Migration

Copy to DR-sites

OSAKA site

Copy to DR-sites

real time and active-active features seem to be just a simple "shared storage".
Live migration is also possible between DR sites
(it requires common subnet and fat pipe for memory copy, of course)
backend
(core servers)

block

File

block

block

block

block

block

block

block

block

Meta
Data

consistent
hash
NFS
CIFS
iSCSI
r=2
ACK

r=1

write
r=0

redundancy
=3
r=2
e=0

r=0
e=1

r=1
e=0

r = -1
e=2

ACK

dundancy
=3
external
VM

Hypervisor

10Gbps
1/4U
server
x4

Cisco UCS
広島大学

大阪大学

金沢大学

国立情報学研究所
iozone -aceI
a: full automatic mode
c: Include close() in the timing calculations
e: Include flush (fsync,fflush) in the timing calculations
I: Use DIRECT IO if possible for all file operations.
write
120000
16384

100000

120000

Kbytes/sec

100000

60000

1024

40000

80000

256

20000

60000

0

64

40000
20000
064

16

16384
4096
1024
256 1024
409616384
65536
262144
16
1.04858e+06
4.1943e+06
File size in 2^n KBytes
1.67772e+07 4
6.71089e+07

64

64

4
256 1024 4096 1638465536 1.04858e+06
262144 4.1943e+066.71089e+07
1.67772e+07

256
Record size in 2^n Kbytes
File size in 2^n KBytes

Record size in 2^n Kbytes

4096

80000
write

rewrite

read

reread

100

100

100

80

60

40

60

40

20

20

0

80

10MB

100MB

1GB

0

10GB

Throughput (MB/sec)

120

Throughput (MB/sec)

120

Throughput (MB/sec)

120

100

Throughput (MB/sec)

120

80

60

40

20

10MB

100MB

1GB

0

10GB

random read

60

40

20

10MB

100MB

File size

File size

80

1GB

0

10GB

random write

bkwd read

1GB

10GB

record rewrite

100

100

100

80

60

40

20

0

80

60

40

20

10MB

100MB

1GB

0

10GB

Throughput (MB/sec)

120

Throughput (MB/sec)

120

Throughput (MB/sec)

120

100

Throughput (MB/sec)

100MB

File size

120

80

60

40

10MB

100MB

1GB

0

10GB

10MB

100MB

File size

stride read

fwrite

1GB

10GB

100

0

Throughput (MB/sec)

100

Throughput (MB/sec)

100

20

80

60

40

20

10MB

100MB

1GB

File size

10GB

0

100MB

1GB

File size

10MB

100MB

1GB

legend
従来方式 Exage/Storage
広域対応 Exage/Storage

80

60

40

20

10MB

0

File size

120

40

40

fread

120

60

60

File size

120

80

80

20

20

File size

Throughput (MB/sec)

10MB

File size

10GB

0

10MB

100MB

1GB

File size

10GB

10GB
SINET4 Hiroshima University EXAGE L3VPN

SINET4 Kanazawa University EXAGE L3VPN
Read (before migration)
Read (after migration)
Write (before migration)
Write (after           
migration)
            

Through
put
(MB/sec
)

propo
sed
metho
d

shared

NFS
SC2013
2013/11/17∼22
@Colorado Convention Center
We have been developing a widely distributed cluster storage system and
evaluating the storage along with various applications. The main advantage of
our storage is its very fast random I/O performance, even though it provides a
POSIX compatible file system interface on the top of distributed cluster storage.
当初の予定
下條真司
Shinji Shimojo @Osaka Univ/JGN-X Leader
面白く
ないよね!
本番
本番
折り返し
RTT=244ms
1Gbps
国際回線を
使用した
マイグレーション
国際回線上での
広域分散ストレージ
のアクセス試験
DCダウン時の
DR実現検証
今年は
拠点を
米国に
Future Works
Big Data
Analysis
モバイルデバイス
からの行動データ
behavior data from mobile devices
電源非供給地域で
収集されるデータ
data from non-electrification area
mobile
devices

high
latency

power
consumption

sensor
devices

personal data
aggregation service
mobile
devices
regional
data center

low
latency
regional
exchange

wide-area distributed
platform

personal data
aggregation service

regional
data center

regional
exchange

sensor
devices
経路最適化
【今後の展開】仮想計算機の流動性向上に向けて

VM

VM

migration

VM

18
拠点間マイグレーションにおける経路最適化の実現
Layer
VM

L2

+

L2
VPLS, IEEE802.1ad PB(Q-in-Q),
IEEE802.1ah(Mac-in-Mac)

L2 over L3

IP
VXLAN, OTV, NVGRE

(
L3
IP

L3
SDN

ID/Locator

OpenFlow
ID

Locator

LISP

IP
L4
L7

IP
MAT, NEMO, MIP(Kagemusha)

mSCTP

SCTP

DNS + Reverse NAT

IP

(

L2 / L3
SCTP

Dynamic DNS
VM
Reverse NAT

L2 / L3
IP
21
2011.3.11
The aftermath of the 2011
Tohoku earthquake and tsunami
Japan
Taiwan
Indonesia

New Zealand
4th RICC workshop

@Okinawa
2014/3/27(Thu)∼28(Fri)
http://ricc.itrc.net
そういえば任期が
2014/3/31まで
なので…
Cybermedia Center
Osaka University
転職先
探しています
おあとが
よろしい
ようで
go to
next stage

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