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Published Articles >> Table of Contents >> Abstract
32nd IEEE Conference on Local Computer Networks (LCN 2007)
pp. 583-590
Performance Modelling of Adaptive Routing in Hypercubic Networks under Non-Uniform and Batch Arrival Traffic
Geyong Min, University of Bradford, UK
Yulei Wu, University of Bradford, UK
Lan Wang, University of Bradford, UK
Mohamed Ould-Khaoua, University of Glasgow, UK
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/LCN.2007.125
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| Abstract |
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Traffic loads have a significant impact on the
performance of routing algorithms. Many analytical models for
adaptive routing in interconnection networks have been reported.
However, most existing studies are based on the assumption that
the arrivals of traffic follow a non-bursty Poisson process and the
message destinations are uniformly distributed over the network.
With the aim of obtaining a deep understanding of network
performance under more realistic working conditions, this study
develops an analytical performance model for adaptive-routed
hypercubic networks under hot-spot and batch arrival traffic.
This model adopts the Compound Poisson Process (CPP) to
capture the properties of the batch arrival traffic. Extensive
simulation experiments are conducted to validate the accuracy of
the analytical model.
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 Additional Information
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Index Terms- Interconnection Networks, Hot-Spot Traffic,
Compound Poisson Process (CPP), Performance Evaluation
Citation:
Geyong Min, Yulei Wu, Lan Wang, Mohamed Ould-Khaoua,
"Performance Modelling of Adaptive Routing in Hypercubic Networks under Non-Uniform and Batch Arrival Traffic,"
lcn,
pp. 583-590,
32nd IEEE Conference on Local Computer Networks (LCN 2007),
2007
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