4th RICC workshopのご案内
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Transcript of 4th RICC workshopのご案内
![Page 1: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/1.jpg)
4th RICC workshopの ご案内
第15回さくらの夕べ in 札幌
An invitation for 4th RICC workshop
柏崎 礼生 Hiroki Kashiwazaki
![Page 2: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/2.jpg)
小樽市桂岡町から きました
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4th RICC workshop @Okinawa 2014/3/27(Thu)~28(Fri)
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RICC
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俵屋宗達: 風神雷神図 (1624ころ?) Soutatsu Tawaraya: Fujin Raijin-zu
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RICC
RICC
地域間 インタークラウド
分科会
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雲内放電 Inter Cloud Lightening
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4th RICC workshopの ご案内
第15回さくらの夕べ in 札幌
An invitation for 4th RICC workshop
柏崎 礼生 Hiroki Kashiwazaki
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
RICC
RICC
地域間 インタークラウド
分科会雲内放電 Inter Cloud Lightening 82p/5min TOYAMA site
OSAKA site
TOKYO site before Migration
Copy to DR-sites
Copy to DR-sites
live migration of VM between distributed areas
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)
after Migration
Copy to DR-sites 広域分散 仮想化環境
Distcloud DR Disaster Recovery
1978Sun 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
Kitami Institute of Technology
University of the Ryukyus
北見工大
琉球大学
SINET 最長
XenServer 6.0.2
CloudStack 4.0.0
XenServer 6.0.2
CloudStack 4.0.0
problems
shared storage ≒50ms
RTT > 100ms Distributed
Storage
requirement 64 256 1024 4096 16384 65536 262144 1.04858e+06 4.1943e+06 1.67772e+07 6.71089e+07 4
16 64
256 1024
4096 16384
0
20000
40000
60000
80000
100000
120000
Kbyt
es/s
ec
File size in 2^n KBytes
Record size in 2^n Kbytes
0
20000
40000
60000
80000
100000
120000
High Random R/W Performance
POSIX準拠 interface protocl
NFS, CIFS, iSCSI
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)
TOYAMA site
OSAKA site
TOKYO site before Migration
Copy to DR-sites
Copy to DR-sites
live migration of VM between distributed areas
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)
after Migration
Copy to DR-sites
Fileblock block block
block block block
block block block
Meta Data
consistent hash
backend (core servers) NFS
CIFS iSCSI
redundancy = 3
r = 2ACK
r = 1
r = 0
write
redundancy = 3
ACK
r = 2 e = 0
r = 1 e = 0
r = 0 e = 1
r = -1 e = 2
external
Hypervisor
VM 金沢大学 広島大学
iozone -aceI
write
64 256 1024 4096 16384 65536 262144 1.04858e+06 4.1943e+06 1.67772e+07 6.71089e+07 4 16
64 256
1024 4096
16384
0
20000
40000
60000
80000
100000
120000
Kbyt
es/s
ec
File size in 2^n KBytes
Record size in 2^n Kbytes
0
20000
40000
60000
80000
100000
120000
64 256 1024 4096 16384 65536 262144 1.04858e+06 4.1943e+06 1.67772e+07 6.71089e+07 4
16
64
256
1024
4096
16384
File size in 2^n KBytes
Record size in 2^n Kbytes
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
write rewrite read reread
random read random write bkwd read
stride read fwrite freadlegend
record rewrite
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
従来方式 Exage/Storage
広域対応 Exage/Storage
SINET4 Hiroshima University EXAGE L3VPN
SINET4 Kanazawa University EXAGE L3VPN
proposed method shared NFS
Read (before migration) Read (after migration)Write (before migration) Write (after migration)
Throughput (MB/sec)
SC2013 2013/11/17~22 @Colorado Convention Center
We have been developing a widely distributed cluster storage system andevaluating the storage along with various applications. The main advantage ofour storage is its very fast random I/O performance, even though it provides aPOSIX compatible file system interface on the top of distributed cluster storage.
当初の予定
下條真司 Shinji Shimojo @Osaka Univ, NICT
面白く ないよね!
本番RTT=244ms 1Gbps
本番折り返し
国際回線を 国際回線上での DCダウン時の 今年は
82p/5min
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TOYAMA site
OSAKA site
TOKYO site before Migration
Copy to DR-sites
Copy to DR-sites
live migration of VM between distributed areas
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)
after Migration
Copy to DR-sites 広域分散 仮想化環境
![Page 11: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/11.jpg)
Distcloud
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DR Disaster Recovery
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1978
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Sun Information Systems
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mainframe hot site
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‘80-’90
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Realtime Processing
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POS point of sales
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’90-’00
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the Internet
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2001.9.11 September 11 attacks
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2003.8.14 Northeast blackout of 2003
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in Japan
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2011.3.11 The aftermath of the 2011
Tohoku earthquake and tsunami
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BCP Business Continuity Plan
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群馬 Gunmma prefecture
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石狩 Ishikari city
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2つで 十分ですよ?
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国立情報学研究所
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Kitami Institute of Technology
University of the Ryukyus
北見工大
琉球大学
SINET 最長
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XenServer 6.0.2
CloudStack 4.0.0
XenServer 6.0.2
CloudStack 4.0.0
![Page 34: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/34.jpg)
problems
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shared storage
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≒50ms
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RTT > 200ms
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分散ストレージ distributed storage
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要求性能 required quality
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64 256 1024 4096 16384 65536 262144 1.04858e+06 4.1943e+06 1.67772e+07 6.71089e+07 4 16
64 256
1024 4096
16384
0
20000
40000
60000
80000
100000
120000
Kbyt
es/s
ec
File size in 2^n KBytes
Record size in 2^n Kbytes
0
20000
40000
60000
80000
100000
120000
High Random R/W Performance
![Page 41: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/41.jpg)
POSIX準拠 interface protocl
NFS, CIFS, iSCSI
![Page 42: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/42.jpg)
���"���� �$����������� ��������������� �������!���� �
Con$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)
TOYAMA site
OSAKA site
TOKYO site before Migration
Copy to DR-sites
Copy to DR-sites
live migration of VM between distributed areas
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)
after Migration
Copy to DR-sites
![Page 43: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/43.jpg)
Fileblock block block
block block block
block block block
Meta Data
consistent hash
backend (core servers)
![Page 44: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/44.jpg)
NFS CIFS iSCSI
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redundancy = 3
r = 2ACK
r = 1
r = 0
write
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redundancy = 3
ACK
r = 2 e = 0
r = 1 e = 0
r = 0 e = 1
r = -1 e = 2
external
![Page 47: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/47.jpg)
10Gbps
Cisco UCS
Hypervisor
VM
1/4U server x4
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大阪大学
金沢大学 広島大学
国立情報学研究所
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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.
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write
64 256 1024 4096 16384 65536 262144 1.04858e+06 4.1943e+06 1.67772e+07 6.71089e+07 4 16
64 256
1024 4096
16384
0
20000
40000
60000
80000
100000
120000
Kbyt
es/s
ec
File size in 2^n KBytes
Record size in 2^n Kbytes
0
20000
40000
60000
80000
100000
120000
64 256 1024 4096 16384 65536 262144 1.04858e+06 4.1943e+06 1.67772e+07 6.71089e+07 4
16
64
256
1024
4096
16384
File size in 2^n KBytes
Record size in 2^n Kbytes
![Page 52: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/52.jpg)
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
write rewrite read reread
random read random write bkwd read
stride read fwrite freadlegend
record rewrite
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
0
20
40
60
80
100
120
10MB 100MB 1GB 10GB
Thro
ughp
ut (M
B/s
ec)
File size
従来方式 Exage/Storage
広域対応 Exage/Storage
![Page 53: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/53.jpg)
SINET4 Hiroshima University EXAGE L3VPN
SINET4 Kanazawa University EXAGE L3VPN
SINET4 NII EXAGE L3VPNSINET4 NII EXAGE L3VPN
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proposed method shared NFS
Read (before migration) Read (after migration)Write (before migration) Write (after migration)
Throughput (MB/sec)
![Page 56: 4th RICC workshopのご案内](https://reader031.fdocuments.net/reader031/viewer/2022012913/558fd9ae1a28ab87528b45e7/html5/thumbnails/56.jpg)
SC2013 2013/11/17~22 @Colorado Convention Center
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We have been developing a widely distributed cluster storage system andevaluating the storage along with various applications. The main advantage ofour storage is its very fast random I/O performance, even though it provides aPOSIX compatible file system interface on the top of distributed cluster storage.
㻯㼛㼚㼠㼍㼏㼠㼟㻦㻌㻰㼕㼟㼠㼏㼘㼛㼡㼐 㻼㼞㼛㼖㼑㼏㼠 㻱㻙㼙㼍㼕㼘䠖 㼐㼕㼟㼠㼏㼘㼛㼡㼐㻬㼞㼕㼏㼏㻚㼕㼠㼞㼏㻚㼚㼑㼠
• Long Distance: Sharing data across geographically dispersed locations• Multi-sites: Replicating data over at least three different locations• All Active: Simultaneous accessing from multiple locations
We have successfully performed a longdistance live migration experiment. Wehave migrated VMs using our storagewithout significant performancedegradation of read/write operations. Migrated to
remote siteMigrated to local site
Migrated to remote site
Migrated to local site
Fig. 1: Comparison of disk write performance during VM migration between with our platform and with NFS. (Distance between two sites is about 450km and RTT is about 18ms.)
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当初の予定
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下條真司 Shinji Shimojo @Osaka Univ/JGN-X Leader
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面白く ないよね!
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本番
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RTT=244ms 1Gbps
本番折り返し
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国際回線を 使用した
マイグレーション
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国際回線上での 広域分散ストレージのアクセス試験
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DCダウン時の DR実現検証
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今年は 拠点を 米国に
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Future Works
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Big Data Analysis
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モバイルデバイス からの行動データ behavior data from mobile devices
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電源非供給地域で 収集されるデータ data from non-electrification area
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personal data aggregation service
high latency power
consumption
mobile devices
sensor devices
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mobile devices
sensor devices
low latency
regional exchange
regional exchange
personal data aggregation service
wide-area distributed platform
regional data center
regional data center
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経路最適化
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【今後の展開】仮想計算機の流動性向上に向けて
18
VM VM VMmigration
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拠点間マイグレーションにおける経路最適化の実現
21
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2011.3.11 The aftermath of the 2011
Tohoku earthquake and tsunami
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Japan
Taiwan
Indonesia
New Zealand
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4th RICC workshop @Okinawa 2014/3/27(Thu)~28(Fri)
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http://ricc.itrc.net
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Cybermedia Center Osaka UniversityCybermedia Center Osaka UniversityCybermedia Center Osaka University
そういえば任期が 2014/3/31まで
なので…
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転職先 探しています
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おあとが よろしい ようで
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go to next stage