• DocumentCode
    2663672
  • Title

    GiGi: An Ocean of Gridlets on a "Grid-for-the-Masses"

  • Author

    Veiga, Lusí ; Rodrigues, Rodrigo ; Ferreira, Paulo

  • Author_Institution
    INESC-ID/IST, Lisbon
  • fYear
    2007
  • fDate
    14-17 May 2007
  • Firstpage
    783
  • Lastpage
    788
  • Abstract
    There have been a few proposals aiming at bridging the gap between institutional grid infrastructures (e.g., Globus-based), popular cycle-sharing applications (e.g., SETIQhome), and massively used decentralized P2P file-sharing applications. Nonetheless, no such infrastructure was ever successful in allowing, in a large-scale, home users to run popular desktop applications faster, by using spare cycles in other users´ machines and, in return, donate their spare cycles to run other users´ applications. We present a novel application and programming model that was designed to overcome some of the barriers to the deployment of a generic peer-to-peer grid infrastructure. In particular, we want to enable a trivial deployment in such infrastructures of existing applications that are in widespread use but do not currently exploit parallelism for improved performance. The model presented in this paper revolves around the concept of a Gridlet, a semantics-aware unit of workload division and computation off-load. A gridlet is a chunk of data associated with the operations to be performed on the data, and in many cases these operations consist of unmodified application binaries. Moreover, the concept of gridlet is also employed for resource management, and accounting of peer contribution. We believe this new concept, absent in other proposals, will significantly lower the barriers for exploiting parallel execution in popular applications, thus improving the chances of the gridlet model being widely adopted.
  • Keywords
    grid computing; peer-to-peer computing; Gridlets; P2P networks; file-sharing; grid-for-the-masses; Drugs; Grid computing; IP networks; Large-scale systems; Oceans; Parallel processing; Peer to peer computing; Predictive models; Proposals; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and the Grid, 2007. CCGRID 2007. Seventh IEEE International Symposium on
  • Conference_Location
    Rio De Janeiro
  • Print_ISBN
    0-7695-2833-3
  • Type

    conf

  • DOI
    10.1109/CCGRID.2007.54
  • Filename
    4215452