Implementing an agent based auction model on a cluster of reused workstations

  • Authors:

  • Timothy M. Lynar;Ric D. Herbert;William J. Chivers

  • Affiliations:

  • School of Design, Communication and Information Technology, The University of Newcastle, 10 Chittaway Road, Ourimbah, NSW, 2258, Australia.;School of Design, Communication and Information Technology, The University of Newcastle, 10 Chittaway Road, Ourimbah, NSW, 2258, Australia.;School of Design, Communication and Information Technology, The University of Newcastle, 10 Chittaway Road, Ourimbah, NSW, 2258, Australia

  • Venue:
  • International Journal of Computer Applications in Technology
  • Year:
  • 2009

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Abstract

Agent based models are often computationally intensive. Historically, the size and scope of agent based models has been limited by a lack of accessible high performance computing equipment. Clustering techniques allow for the creation of high performance computing environments at a relatively low cost. The low cost of clustering can be further reduced by utilising discarded computer workstations. In this paper, the authors evaluate the implementation of an agent-based model on a cluster of reused workstations. The workstations are reused PCs in a Linux based cluster and the authors concentrate on a Java based clustering and grid solution JavaParty. An existing agent based auction model is used to demonstrate the difference in performance, before and after the implementation of the model on a cluster. The authors compare the performance of the cluster implemented agent based auction model with the existing auction model and compare their execution times.