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Implementing an agent based auction model on a cluster of reused workstations
by Timothy M. Lynar, Ric D. Herbert, William J. Chivers
International Journal of Computer Applications in Technology (IJCAT), Vol. 34, No. 4, 2009


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.


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