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    Towards an integrated vision across inter-cooperative grid virtual organizations

    Huang, Y. and Bessis, N. and Brocco, A. and Sotiriadis, Stelios and Courant, M. and Kuonen, P. and Hisbrunner, B. (2009) Towards an integrated vision across inter-cooperative grid virtual organizations. In: Lee, Y.H. and Slezak, D. (eds.) Future Generation Information Technology. Lecture Notes in Computer Science 5899. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 120-128. ISBN 9783642105081.

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    Abstract

    Much work has been done to exploit the benefit brought by allowing job execution on distributed computational resources. Nodes are typically able to share jobs only within the same virtual organization, which is inherently bounded by various reasons such as the adopted information system or other agreed constraints. The problem raised by such limitation is thus related to finding a way to enable interoperation between nodes from different virtual organizations. We introduce a novel technique for integrating visions from both resource users and providers, allowing to serve multiple virtual organizations as a whole. By means of snapshot data stored within each grid node, such as processing and interacting history, we propose a demand-centered heuristic scheduling approach named Critical Friend Community (CFC). To this end, a set of simplified community scheduling targeted algorithms and processing workflows are described. A prototype of our scheduling approach is being implemented within the SmartGRID project.

    Metadata

    Item Type: Book Section
    Additional Information: First International Conference, FGIT 2009, Jeju Island, Korea, December 10-12,2009, Proceedings
    Keyword(s) / Subject(s): Grid Scheduling, Meta-scheduling, Inter-cooperative, Critical Friend Community, SmartGRID, MaGate
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 08 Jun 2018 13:20
    Last Modified: 21 Jul 2020 03:49
    URI: https://eprints.bbk.ac.uk/id/eprint/21895

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