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A Critical Improvement On Open Shop Scheduling Algorithm For Routing In Interconnection Networks

机译:路由器开放式车间调度算法的一个重要改进   互连网络

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摘要

In the past years, Interconnection Networks have been used quite often andespecially in applications where parallelization is critical. Message packetstransmitted through such networks can be interrupted using buffers in order tomaximize network usage and minimize the time required for all messages to reachtheir destination. However, preempting a packet will result in topologyreconfiguration and consequently in time cost. The problem of schedulingmessage packets through such a network is referred to as PBS and is known to beNP-Hard. In this paper we have improved, critically, variations of polynomiallysolvable instances of Open Shop to approximate PBS. We have combined thesevariations and called the induced algorithm IHSA, Improved Hybridic SchedulingAlgorithm. We ran experiments to establish the efficiency of IHSA and foundthat in all datasets used it produces schedules very close to the optimal. Inaddition, we tested IHSA with datasets that follow non-uniform distributionsand provided statistical data which illustrates better its performance.Tofurther establish the efficiency of IHSA we ran tests to compare it to SGA,another algorithm which when tested in the past has yielded excellent results.
机译:在过去的几年中,互连网络已被广泛使用,尤其是在并行化至关重要的应用中。可以使用缓冲区来中断通过此类网络传输的消息包,以最大程度地利用网络并最小化所有消息到达其目的地所需的时间。但是,抢占数据包将导致拓扑重新配置,从而导致时间成本降低。通过这样的网络调度消息分组的问题被称为PBS,并且被称为NP-Hard。在本文中,我们严格地改进了Open Shop的多项可解实例的变化,以近似PBS。我们结合了这些变量,并将其称为诱导算法IHSA,即改进的混合调度算法。我们进行了实验来确定IHSA的效率,发现在所有使用的数据集中,它产生的计划都非常接近最优计划。此外,我们还使用遵循非均匀分布的数据集对IHSA进行了测试,并提供了可更好地说明其性能的统计数据。为进一步确定IHSA的效率,我们进行了测试以将其与SGA进行比较,该算法在过去的测试中也获得了出色的结果。

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