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    A performance model for wormhole-switched interconnection networks under self-similar traffic.

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    Publication date
    2004
    Author
    Min, Geyong
    Ould-Khaoua, M.
    Keyword
    Multicomputers
    Interconnection networks
    Traffic self-similarity
    Adaptive routing
    Virtual channels
    Performance modeling
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Many recent studies have convincingly demonstrated that network traffic exhibits a noticeable self-similar nature which has a considerable impact on queuing performance. However, the networks used in current multicomputers have been primarily designed and analyzed under the assumption of the traditional Poisson arrival process, which is inherently unable to capture traffic self-similarity. Consequently, it is crucial to reexamine the performance properties of multicomputer networks in the context of more realistic traffic models before practical implementations show their potential faults. In an effort toward this end, this paper proposes the first analytical model for wormhole-switched k-ary n-cubes in the presence of self-similar traffic. Simulation experiments demonstrate that the proposed model exhibits a good degree of accuracy for various system sizes and under different operating conditions. The analytical model is then used to investigate the implications of traffic self-similarity on network performance. This study reveals that the network suffers considerable performance degradation when subjected to self-similar traffic, stressing the great need for improving network performance to ensure efficient support for this type of traffic.
    URI
    http://hdl.handle.net/10454/3706
    Version
    No full-text available in the repository
    Citation
    Min, G. and Ould-Khaoua, M. (2004). A performance model for wormhole-switched interconnection networks under self-similar traffic. IEEE Transactions on Computers. Vol. 53, No. 5, pp. 601-613.
    Link to publisher’s version
    http://:dx.doi.org/10.1109/TC.2004.1275299
    Type
    Article
    Collections
    Engineering and Digital Technology Publications

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