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NFSv4 Replication for Grid Computing Peter Honeyman Center for Information Technology Integration University of Michigan, Ann Arbor
Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP SKIP SKIP SKIP SKIP SKIP
Grid computing ,[object Object],SKIP SKIP SKIP Grid Computing
GridFTP ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP
NFSv4 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP
NFSv4.r ,[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP
Replication in practice ,[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP
Consistent replication ,[object Object],[object Object],[object Object],SKIP SKIP SKIP
Design principles ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP
Replication control client When a client opens a file for writing, the selected server temporarily becomes the primary for that file Other replication servers are instructed to forward client requests for that file to the primary if concurrent writes occur SKIP SKIP SKIP wopen
Replication control client The primary server asynchronously distributes updates to other servers during file modification   SKIP SKIP SKIP write
Replication control client When the file is closed and all replication servers are synchronized, the primary server notifies the other replication servers that it is no longer the primary server for the file  SKIP SKIP SKIP close
Directory updates ,[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP
Close-to-open semantics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP
Durability guarantee ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP
What I skipped ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NFSv4.r in brief ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Write-mostly WAN performance ,[object Object],[object Object],[object Object],[object Object]
Asynchronous updates ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchical replication control ,[object Object],[object Object],[object Object],[object Object]
Shallow & deep control /usr bin local /usr bin local A server with a  shallow control  on a file or directory is the primary server for that single object A server with a  deep control  on a directory is the primary server for everything in the subtree rooted at that directory
Primary server election ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP
Ancestry table /root a b c f2 d2 controlled by S1 controlled by S0 controlled by S0 controlled by S2 …… Ancestry Table The data structure of entries in the ancestry table d1 f1 Ancestry Entry an ancestry entry has the following attributes id =  unique identifier of the directory array of counters =  set of counters recording which servers controls     the directory’s descendants counter array S0  S1  S2 Id 2  0  0 c 0  0  1 b 2  1  0 a 2  1  1 root
Primary election ,[object Object],[object Object],[object Object],a b c S0 S1 S2 control b control c control b deep control a control c deep control a S0 S1 S2  SKIP SKIP SKIP
Performance vs. concurrency ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP SKIP
Performance vs. concurrency ,[object Object],[object Object],[object Object],[object Object],SKIP SKIP SKIP
Single remote NFS N.B.: log scale
Deep vs. shallow Shallow controls vs. deep + shallow controls
Deep control timer
Durability revisited ,[object Object],[object Object],[object Object],[object Object],[object Object],NEW NEW NEW
Utilization tradeoffs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Placement tradeoffs ,[object Object],[object Object],[object Object],[object Object]
Run-time model
Parameters ,[object Object],[object Object],[object Object],[object Object],[object Object]
F: run time ,[object Object],[object Object],[object Object]
C: replication overhead ,[object Object],[object Object],[object Object]
R: recovery time ,[object Object],[object Object],[object Object]
Failure distributions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
PlanetLab failure CDF
Same-site correlated failures sites nodes 11 21 65 259 0.488 5 0.488 0.378 4 0.538 0.440 0.546 3 0.561 0.552 0.593 0.526 2
Different-site correlated failures
Run-time model ,[object Object]
Simulated utilization F = one hour One backup server Four backup servers
Simulation results F = one day One backup server Four backup servers
Simulation results F = ten days One backup server Four backup servers
Simulation results discussion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Checkpoint interval F = one day One backup server 20% checkpoint overhead F = ten days, 2% checkpoint overhead One backup server Four backup servers
Next steps ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object]
Thank you for your attention! www.citi.umich.edu Questions?

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NFSv4 Replication for Grid Computing

  • 1. NFSv4 Replication for Grid Computing Peter Honeyman Center for Information Technology Integration University of Michigan, Ann Arbor
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  • 11. Replication control client When a client opens a file for writing, the selected server temporarily becomes the primary for that file Other replication servers are instructed to forward client requests for that file to the primary if concurrent writes occur SKIP SKIP SKIP wopen
  • 12. Replication control client The primary server asynchronously distributes updates to other servers during file modification SKIP SKIP SKIP write
  • 13. Replication control client When the file is closed and all replication servers are synchronized, the primary server notifies the other replication servers that it is no longer the primary server for the file SKIP SKIP SKIP close
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  • 22. Shallow & deep control /usr bin local /usr bin local A server with a shallow control on a file or directory is the primary server for that single object A server with a deep control on a directory is the primary server for everything in the subtree rooted at that directory
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  • 24. Ancestry table /root a b c f2 d2 controlled by S1 controlled by S0 controlled by S0 controlled by S2 …… Ancestry Table The data structure of entries in the ancestry table d1 f1 Ancestry Entry an ancestry entry has the following attributes id = unique identifier of the directory array of counters = set of counters recording which servers controls the directory’s descendants counter array S0 S1 S2 Id 2 0 0 c 0 0 1 b 2 1 0 a 2 1 1 root
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  • 28. Single remote NFS N.B.: log scale
  • 29. Deep vs. shallow Shallow controls vs. deep + shallow controls
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  • 41. Same-site correlated failures sites nodes 11 21 65 259 0.488 5 0.488 0.378 4 0.538 0.440 0.546 3 0.561 0.552 0.593 0.526 2
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  • 44. Simulated utilization F = one hour One backup server Four backup servers
  • 45. Simulation results F = one day One backup server Four backup servers
  • 46. Simulation results F = ten days One backup server Four backup servers
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  • 48. Checkpoint interval F = one day One backup server 20% checkpoint overhead F = ten days, 2% checkpoint overhead One backup server Four backup servers
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  • 52. Thank you for your attention! www.citi.umich.edu Questions?