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David P. Anderson

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Public Distributed Computing with BOINC David P. Anderson Space Sciences Laboratory University of California Berkeley Public-resource computing (cont.) 1 billion ... – PowerPoint PPT presentation

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Title: David P. Anderson


1
Public Distributed Computing with BOINC
  • David P. Anderson
  • Space Sciences Laboratory
  • University of California Berkeley

2
Public-resource computing
home PCs
your computers
academic
business
  • Challenges
  • low BW at client
  • costly BW at server
  • firewall/NAT issues
  • sporadic connection
  • untrustworthy, insecure clients
  • server security
  • heterogeneity
  • need PR, glitzy GUI
  • Advantages
  • scale
  • free
  • growth
  • public education
  • no policy issues

3
Public-resource computing (cont.)
public computing
CPU power, storage capacity
Grid computing
cluster computing
supercomputing
cost
  • 1 billion Internet-connected PCs in 2010
  • 50 privately owned
  • If 10 participate
  • At least 100 PetaFLOPs, 1 Exabyte (1018) storage

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4
SETI_at_home
  • Running since May 1999
  • 500,000 active participants
  • 60 TeraFLOPs
  • Problems with current software
  • hard to change/add algorithms
  • can't share participants w/ other projects
  • inflexible data architecture

5
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6
BOINC Berkeley Open Infrastructure for Network
Computing
  • Goals for computing projects
  • easy/cheap to create and operate DC projects
  • wide range of applications possible
  • no central authority
  • Goals for participants
  • easy to participate in multiple projects
  • invisible use of disk, CPU, network

7
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8
Data model
  • Immutable files
  • Replication across servers
  • Can originate on clients or servers
  • Can be retained on clients
  • Computations can have multiple input and output
    files
  • Applications can consist of multiple files

9
Computation model
  • Redundant computing

work generation
assimilation
canonical result
validation
distribution
10
Computation model (cont.)
  • Scheduling
  • task resource estimates (disk/mem/CPU)
  • soft deadlines
  • Long-running tasks
  • trickle messages, preemption
  • API
  • minimal (file I/O, checkpoint, graphics)

11
Participant features
  • Can register with multiple projects, control
    resource allocation
  • Preferences
  • global, per-project
  • edited via web interface
  • Platforms Windows, Mac OS/X, Unix/Linux
  • Anonymous platform mechanism
  • Views
  • GUI, screensaver, Windows service

12
Participant Credit
  • Goals
  • credit for work actually done (CPU, network,
    storage)
  • don't know workunit size in advance
  • cheat-proof
  • Integration with redundancy
  • claimed credit benchmark CPU time
  • granted credit minimum claimed credit
  • Handling graphics coprocessors
  • project-specific benchmarks

13
Participant web features
  • User profiles
  • Forums
  • Self-moderating FAQs
  • Teams
  • XML data export (3rd party statistics reporting)

14
Projects
  • Current (at Space Sciences Lab)
  • Astropulse (black hole / pulsar search)
  • SETI_at_home
  • In progress
  • Folding_at_home (Stanford)
  • Climateprediction.net (Oxford)
  • Planned
  • LIGO (physics)
  • CERN
  • DIMES (network performance study)

15
Summary and status
  • Public distributed computing
  • BOINC a platform for PDC
  • BOINC is funded by NSF
  • Source code is free for noncommercial use
    http//boinc.berkeley.edu
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