Agent-based virtual organisations for the Grid

  • Authors:

  • Jigar Patel;W. T. Luke Teacy;Nicholas R. Jennings;Michael Luck;Stuart Chalmers;Nir Oren;Timothy J. Norman;Alun Preece;Peter M. D. Gray;Gareth Shercliff;Patrick J. Stockreisser;Jianhua Shao;W. Alex Gray;Nick J. Fiddian;Simon Thompson

  • Affiliations:

  • School of Electronics and Computer Science, University of Southampton, UK;School of Electronics and Computer Science, University of Southampton, UK;School of Electronics and Computer Science, University of Southampton, UK;School of Electronics and Computer Science, University of Southampton, UK (Correspd. Fax: +44 23 8059 3313/ E-mail: mml@ecs.soton.ac.uk);Department of Computing Science, University of Aberdeen, UK;Department of Computing Science, University of Aberdeen, UK;Department of Computing Science, University of Aberdeen, UK;Department of Computing Science, University of Aberdeen, UK;Department of Computing Science, University of Aberdeen, UK;School of Computer Science, Cardiff University, UK;School of Computer Science, Cardiff University, UK;School of Computer Science, Cardiff University, UK;School of Computer Science, Cardiff University, UK;School of Computer Science, Cardiff University, UK;BT, Adastral Park, UK

  • Venue:
  • Multiagent and Grid Systems - Smart Grid Technologies & Market Models
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

The ability to create reliable and scalable virtual organisations (VOs) on demand in a dynamic, open and competitive environment is one of the major challenges that underlie Grid computing. In response, in the CONOISE-G project, we are developing an infrastructure to support robust and resilient virtual organisation formation and operation. Specifically, CONOISE-G provides mechanisms to assure effective operation of agent-based VOs in the face of disruptive and potentially malicious entities in dynamic, open and competitive environments. In this paper, we describe the CONOISE-G system, outline its use in the context of VO formation and perturbation, and review current efforts to progress the work to deal with unreliable information sources.