The full text of this article


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.

Online publication date: Wed, 25-Mar-2009


is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:


    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email