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An Analytical Model for Torus Networks in the Presence of Batch Message Arrivals with Hot-spot Destinations 被引量:1
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作者 Yulei Wu Geyong Min +1 位作者 Mohamed Ould-Khaoua Hao Yin 《International Journal of Automation and computing》 EI 2009年第1期38-47,共10页
Interconnection networks are hardware fabrics supporting communications between individual processors in multi- computers. The low-dimensional k-ary n-cubes (or torus) with adaptive wormhole switching have attracted... Interconnection networks are hardware fabrics supporting communications between individual processors in multi- computers. The low-dimensional k-ary n-cubes (or torus) with adaptive wormhole switching have attracted significant research efforts to construct high-performance interconnection networks in contemporary multi-computers. The arrival process and destination distribution of messages have great effects on network performance. With the aim of capturing the characteristics of the realistic traffic pattern and obtaining a deep understanding of the performance behaviour of interconneetion networks, this paper presents an analytical model to investigate the message latency in adaptive-routed wormhole-switched torus networks where there exists hot-spot nodes and the message arrivals follow a batch arrival process. Each generated message has a given probability to be directed to the hot-spot node. The average degree of virtual channel multiplexing is computed by the GE/G/1/V queueing system with finite buffer capacity. We compare analytical results of message latency with those obtained through the simulation experiments in order to validate the accuracy of the derived model. 展开更多
关键词 Multi-computers interconnection networks non-uniform traffic generalised exponential distribution ge/g/1/v.
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