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Stochastic modeling of Scouting Switching for adaptively-routed mesh networks

机译:自适应路由网状网络侦察切换的随机建模

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Talking out the network issues, the switching techniques specify the connection activities performed by the switching elements when a message is received at the input port. Traditional switching mechanisms such as Wormhole Switching (WS) realize high performance, but prone to deadlock in the vicinity of faults. While some techniques such as adaptive routing can alleviate the problem, it cannot solve the problem by itself. This has motivated the development of different switching techniques. The Scouting Switching (SS) has been suggested as an efficient switching mechanism for reconciling the confliction demands on communication performance and fault-tolerance in interconnection networks. Although SS has been around for years and it can greatly benefit from adaptive routing as it reduces blocking in the network, there has been hardly any attempt to provide an analytical model for SS when fully adaptive routing along with virtual channels is used. Besides, mesh is one of the most desirable topologies regarding to characteristics which can offer very good scalability. In an effort to fill this gap, this paper proposes the first analytical model for 2-D mesh networks using SS augmented with virtual channels. Experimental results show that this model is able to predict message latency with a good degree of accuracy.
机译:说出网络问题,当在输入端口接收到消息时,交换技术指定交换元素执行的连接活动。传统的交换机制(例如虫洞交换(WS))可实现高性能,但易于在故障附近死锁。尽管诸如自适应路由之类的某些技术可以缓解此问题,但它无法单独解决问题。这激励了不同开关技术的发展。已经建议将侦察交换(SS)作为一种有效的交换机制,用于调解互连网络中对通信性能和容错能力的冲突要求。尽管SS已经存在了很多年,并且由于它减少了网络阻塞,它可以从自适应路由中受益匪浅,但是当使用完全自适应路由和虚拟通道时,几乎没有尝试为SS提供分析模型。此外,对于可以提供非常好的可伸缩性的特性而言,网格是最理想的拓扑之一。为了填补这一空白,本文提出了第一个使用虚拟通道增强的SS的二维网格网络分析模型。实验结果表明,该模型能够很好地预测消息等待时间。

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