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Towards decentralized grid agent models for continuous resource discovery of interoperable grid Virtual Organisations

  • Stelios Sotiriadis
    ,
  • Nik Bessis
    ,
  • Ye Huang
    ,
  • Paul Sant
    ,
  • Carsten Maple
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Abstract

Grid technology enables resource sharing among a massive number of dynamic and geographically distributed resources. The significance of such environments is based on the aptitude of grid members to look across multiple grids for resource discovery and allocation. Parallel to grid, agents are autonomous problem solvers capable of self-directed actions in flexible environments. As grid systems require self-sufficiency, agents may be the means by which to achieve a robust autonomy infrastructure. In this direction we propose a resource discovery method of interoperable grid agents which travel within Virtual Organizations (VOs) and by capturing resource information regarding their action domain; they update the internal data of each grid member. Moreover we propose that resource discovery is a systematic and continually updating process that occurs within a VO and allows information exchange to happen. This exchange takes place between various community members at a pre-defined interval, aiming to distribute internal knowledge about the domain.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Publication milestones

  • Published - 10/12/2010

Publication status

Published - 10/12/2010

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

978-1-4244-7572-8

ISBN (Electronic)

978-1-4244-7572-8

Publication IDs

  • handle.net: 10547/270660
  • Scopus: 78650937347

Host publication title

nan

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