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David P. Anderson

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University of California Berkeley. Public and Grid Computing. History ... you buy computers, bandwidth is free $1 buys 24 GB transfer or 1 CPU day. Let X ... – PowerPoint PPT presentation

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Title: David P. Anderson


1
Public and Grid Computing
  • David P. Anderson
  • Space Sciences Laboratory
  • University of California Berkeley

2
History
95 96 97 98 99 00 01 02
03 04
GIMPS, distributed.net
SETI_at_home, folding_at_home
fight_at_home
names public-resource computing peer-to-peer
computing public distributed computing _at_home
computing
climateprediction.net
3
The potential of public computing
  • 1 billion Internet-connected PCs in 2010
  • 50 privately owned
  • If 10 participate
  • At least 100 PetaFLOPs, 1 Exabyte (1018) storage

public computing
CPU power, storage capacity
Grid computing
p
cluster computing
supercomputing
cost
4
Economics (simplified)
  • Public
  • you buy bandwidth, computers are free
  • Grid
  • you buy computers, bandwidth is free
  • 1 buys 24 GB transfer or 1 CPU day
  • Let X CPU hrs/GB
  • if X gt 1, public computing may be cheaper
  • SETI_at_home X 3,000

5
Why hasn't PRC taken off?
  • Lack of platform
  • jxta, Jabber not a solution
  • Java apps are in C, FORTRAN
  • commercial platforms money issues
  • cosm not complete
  • Need to connect scientists to technology

6
Public/Grid differences
7
SETI_at_home
  • Running since May 1999
  • 500,000 active participants
  • 60 TeraFLOPs (grows w/ Moore's Law)
  • Problems with current software
  • hard to change/add algorithms
  • inflexible data architecture
  • can't share participants w/ other projects

8
(No Transcript)
9
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
  • NSF-funded open source in beta test
  • http//boinc.berkeley.edu

10
(No Transcript)
11
BOINC features
  • Computation model
  • redundant computing, soft deadlines
  • Data model
  • flexible long-term storage on clients
  • Programming environment
  • Administrative tools
  • Minimal API (support legacy apps)
  • Credit system
  • Participant web features

12
Projects
  • Current (at UCB Space Sciences Lab)
  • SETI_at_home
  • Astropulse
  • In progress
  • Folding_at_home (Stanford)
  • Climateprediction.net (Oxford)
  • Planned
  • LIGO (physics)
  • CERN

13
Conclusion
  • Public-resource computing is a distinct paradigm
    from Grid computing
  • PRC has tremendous potential for some
    applications (computing and storage)
  • BOINC enabling technology for PRC
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