University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Science
  • School of Physics
  • School of Physics - Research Publications
  • View Item
  • Minerva Access
  • Science
  • School of Physics
  • School of Physics - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    A grid service broker for scheduling e-Science applications on global data grids

    Thumbnail
    Citations
    Scopus
    Web of Science
    Altmetric
    112
    70
    Author
    Venugopal, S; Buyya, R; Winton, L
    Date
    2006
    Source Title
    Concurrency Computation Practice and Experience
    Publisher
    John Wiley & Sons
    University of Melbourne Author/s
    Buyya, Rajkumar; Winton, Lyle; VENUGOPAL, SRIKUMAR
    Affiliation
    Physics
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Venugopal, S., Buyya, R. & Winton, L. (2006). A grid service broker for scheduling e-Science applications on global data grids. Concurrency Computation Practice and Experience, 18 (6), pp.685-699. https://doi.org/10.1002/cpe.974.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/29388
    DOI
    10.1002/cpe.974
    Abstract
    The next generation of scientific experiments and studies, popularly called e-Science, is carried out by large collaborations of researchers distributed around the world engaged in the analysis of huge collections of data generated by scientific instruments. Grid computing has emerged as an enabler for e-Science as it permits the creation of virtual organizations that bring together communities with common objectives. Within a community, data collections are stored or replicated on distributed resources to enhance storage capability or the efficiency of access. In such an environment, scientists need to have the ability to carry out their studies by transparently accessing distributed data and computational resources. In this paper, we propose and develop a Grid broker that mediates access to distributed resources by: (a) discovering suitable data and computational resources sources for a given analysis scenario; (b) optimally mapping analysis jobs to resources; (c) deploying and monitoring job execution on selected resources; (d) accessing data from local or remote data sources during job execution; and (e) collating and presenting results. The broker supports a declarative and dynamic parametric programming model for creating Grid applications. We have used this model in Grid-enabling a high-energy physics analysis application (the Belle Analysis Software Framework). The broker has been used in deploying Belle experimental data analysis jobs on a Grid testbed, called the Belle Analysis Data Grid, having resources distributed across Australia interconnected through GrangeNet.
    Keywords
    Computer Software

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [53102]
    • School of Physics - Research Publications [1059]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors