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The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

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Performance prediction of wormhole switching in hypercubes with bursty traffic pattern

Min, G. and Ould-Khaoua, M. and Ferguson, J.D. (2003) Performance prediction of wormhole switching in hypercubes with bursty traffic pattern. In: Proceedings of the 2003 ACM symposium on Applied computing. ACM Press, pp. 985-989. ISBN 1-58113-624-2

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Abstract

Wormhole switching has been extensively deployed in the current-generation of high-end parallel systems. The performance of wormhole switching in hypercubes has been primarily investigated under the assumption that traffic load follows a Poisson arrival process. However, many studies have shown that traffic in parallel computation environments can exhibit a high degree of burstiness and the Poisson arrival process is unable to model the behaviour of bursty traffic. This paper proposes a new analytical model for wormhole-switched hypercubes under bursty traffic. Simulation experiments demonstrate that the proposed model exhibits a good degree of accuracy under various operating conditions.