Performance prediction of wormhole switching in hypercubes with bursty traffic pattern

  • Authors:
  • Geyong Min;Mohamed Ould-Khaoua;John Ferguson

  • Affiliations:
  • University of Bradford, Bradford, U.K.;University of Glasgow, Glasgow, U.K.;University of Strathclyde, Glasgow, U.K.

  • Venue:
  • Proceedings of the 2003 ACM symposium on Applied computing
  • Year:
  • 2003

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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.