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POND: the OceanStore Prototype

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OceanStore uses Tapestry Tapestry performs Distributed Object Location and Routing Locality aware ... Pond Coding in Java Staged Event-Driven Architecture ... – PowerPoint PPT presentation

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Title: POND: the OceanStore Prototype


1
POND the OceanStore Prototype
  • Sean Rhea, Patrick Eaton, Dennis Geels, Hakim
    Weatherspoon, Ben Zhao and John Kubiatowicz
  • UC, Berkeley
  • File and Storage Technologies, March 2003
  • Presenter Prashanth

2
Goals of OceanStore
  • Provide an Internet-scale cooperative file system
  • High Durability
  • Universal availability
  • Balance between privacy information sharing
  • Integrity

3
Challenges
  • Maintenance
  • Many components, many administrative domains
  • Constant change
  • Must be self-organizing
  • Must be self-maintaining
  • Security
  • Must have end-to-end encryption
  • Must not place too much trust in any one host

4
Assumptions
  • Infrastructure is untrusted except in aggregate.
  • No more than some fraction of a given set are
    faulty/malicious.
  • Infrastructure is constantly changing.

5
OceanStore uses Tapestry
  • Tapestry performs
  • Distributed Object Location and Routing
  • Locality aware
  • Efficient
  • O(log N ) location time
  • Self-organizing, self-maintaining

6
Data Model of OceanStore
  • The unit of storage is called Data Object.
  • Analogous to file in a file system
  • Ordered sequences of read-only versions.

7
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8
Byzantine agreement
  • Guarantees all non-faulty replicas agree
  • Given N 3f 1 replicas, up to f may be
    faulty/corrupt
  • Expensive
  • Requires O(N 2) communication

9
Erasure Codes
10
The Path of a Write
11
The prototype Pond
  • Coding in Java
  • Staged Event-Driven Architecture

12
Performance Results Andrew Benchmark
OceanStore OceanStore
Phase NFS 512 1024
I 0.9 2.8 6.6
II 9.4 16.8 40.4
III 8.3 1.8 1.9
IV 6.9 1.5 1.5
V 21.5 32.0 70.7
Total 47.0 54.9 120.3
(times in seconds) (times in seconds) (times in seconds) (times in seconds)
  • Ran Andrew on Pond
  • Primary replicas at UCB, UW, Stanford, Intel
    Berkeley
  • Client at UCB
  • Pond faster on reads 4.6x
  • Phases III and IV
  • Only contact primary when cache older than 30
    seconds
  • But slower on writes 7.3x
  • Phases I, II, and V
  • Only 1024-bit are secure
  • 512-bit keys show CPU cost

13
A closer look at Write
  • Small writes
  • Signature dominates
  • Threshold sigs. slow!
  • Takes 70 ms to sign
  • Compare to 5 ms for regular sig
  • Large writes
  • Encoding dominates
  • Archive cost per byte
  • Signature cost per write

Phase 4 kB write 2 MB write
Validate 0.3 0.4
Serialize 6.1 26.6
Apply 1.5 113.0
Archive 4.5 566.9
Sign Result 77.8 75.8
(times in milliseconds)
14
Performance of Write
15
Stream Benchmark
16
Sources
  • The OceanStore Project http//oceanstore.cs.berkel
    ey.edu/
  • THANK YOU!
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