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"Grid Computing: BOINC Overview" por Rodrigo Neves, Nuno Mestre, Francisco Machado e João Lopes
 

"Grid Computing: BOINC Overview" por Rodrigo Neves, Nuno Mestre, Francisco Machado e João Lopes

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Trabalho de Sistemas Paralelos e Distribuidos apresentado em 17 de Junho de 2009: "Grid Computing: Boinc Overview" por Rodrigo Neves, Nuno Mestre, Francisco Machado e João Lopes

Trabalho de Sistemas Paralelos e Distribuidos apresentado em 17 de Junho de 2009: "Grid Computing: Boinc Overview" por Rodrigo Neves, Nuno Mestre, Francisco Machado e João Lopes

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    "Grid Computing: BOINC Overview" por Rodrigo Neves, Nuno Mestre, Francisco Machado e João Lopes "Grid Computing: BOINC Overview" por Rodrigo Neves, Nuno Mestre, Francisco Machado e João Lopes Presentation Transcript

    • Parallel and Distributed Systems June 17th, 2009 University of Algarve R.Neves, N. Mestre, F. Machado and J. Lopes
    •  Grid Computing ◦ Definitions ◦ Ian Foster’s Three-Point Checklist ◦ Quality of Service  BOINC System ◦ Public Resource Computing ◦ Infrastructure  Getting BOINC into Grid ◦ PRC versus Grid ◦ Solutions  Extended BOINC System ◦ Needed changes ◦ Bridge Daemon  References  Q&A
    •  “A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive and inexpensive access to high-end computational [1] capabilities.”  “The problem that underlines the Grid concept is coordinated resource sharing and problem solving in dynamic, multi- [2] institutional virtual organizations.”  “Computational grid is the technology that enables resource virtualization, on-demand provisioning and service (resource) [3] sharing between organizations.”
    • A grid is a system that[4]: 1. Coordinates resources that are not subject to centralized control (…) 2. (…) using standard, open, general-purpose protocols and interfaces (…) 3. (…) to deliver non-trivial quality of service.
    •  Advanced Resource Reservation  Reservation Policies  Agreement Protocol
    • What is it?
    •  On one hand: ◦ Allow a huge growth in terms of connected nodes ◦ Approach the common people to scientific projects
    •  On the other hand: ◦ Unreliability of the processed results ◦ Uncertain processor time
    •  Common goal;  Resource management and control;  Reliability;  Quality of Service.
    •  BOINC using Condor’s backfill mechanism;  SuperLink Project;  Lattice Project;  Extended BOINC System.
    •  Server-side ◦ Communication system; ◦ Transitioner, Feeder and Validator Daemons;  Client-side ◦ Handle WUs and Results to the Grid’s Resource Broker instead of directly to the project server;
    • BOINC System Extended BOINC System
    • 1. I. Foster, C. Kesselman, The Grid: Blueprint for a New Computing Infrastructure, University of Michigan, U.S.A.: Morgan Kaufmann Publishers, 1999 2. I. Foster, C. Kesselman, S. Tuecke, The Anatomy of the Grid: Enabling Scalable Virtual Organizations, International J. Supercomputer Applications, 2001 3. P. Plaszczak, R. Wellner, Grid computing: The Savvy Manager's Guide, U.S.A.: Elsevier/Morgan Kaufmann, 2005 4. I. Foster, What is the Grid? A Three Point Checklist, GRIDToday, July 20, 2002 5. R. J. Al-Ali, K. Amin, G. von Laszewski, O. F. Rana, D. W. Walker, M. Hategan, N. Zaluzec, Analysis and Provision of QoS for Distributed Grid Applications, Kluwer Academic Publishers, 2004 6. C. U. Søttrup, J. G. Pedersen, Developing Distributed Computing Solutions: Combining Grid Computing and Public Computing, M. Sc. Thesis, Department of Computer Science, University of Copenhagen, March 1, 2005 7. BOINC Documentation Project, Grid computing with BOINC, http://boinc.berkeley.edu/trac/wiki/DesktopGrid, University of California, June 13, 2009
    • For more information, access our paper through: http://www.deei.fct.ualg.pt/~nei/boinc-grid.pdf Rodrigo Neves, a25067@ualg.pt Nuno Mestre, a28997@ualg.pt Francisco Machado, a28994@ualg.pt João Lopes, a27981@ualg.pt