Agent-Based Resource Management for Grid Computing

  • Authors:
  • Junwei Cao;Daniel Spooner;James D. Turner;Stephen Jarvis;Darren J. Kerbyson;Subhash Saini;Graham Nudd

  • Affiliations:
  • -;-;-;-;-;-;-

  • Venue:
  • CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
  • Year:
  • 2002

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Abstract

It is envisaged that the grid infrastructure will be alarge-scale distributed software system that will providehigh-end computational and storage capabilities todifferentiated users.A number of distributed computingtechnologies are being applied to grid developmentwork, including CORBA and Jini.In this work, weintroduce an A4 (Agile Architecture and AutonomousAgents) methodology, which can be used for resourcemanagement for grid computing.An initial systemimplementation utilises the performance predictiontechniques of the PACE toolkit to provide quantitativedata regarding the performance of complex applicationsrunning on local grid resources.At the meta-level, ahierarchy of identical agents is used to provide anabstraction of the system architecture.Each agent isable to cooperate with other agents to provide serviceadvertisement and discovery to schedule applicationsthat need to utilise grid resources.A performancemonitor and advisor (PMA) is in development to optimize the performance of agent behaviours.