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Do flow principles of operations management apply to computing centres?

机译:运营管理流程原则是否适用于计算中心?

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By analysing large data-sets on jobs processed in major computing centres, we study how operations management principles apply to these modern day processing plants. We show that Little's Law on long-term performance averages holds to computing centres, i.e. work-in-progress equals throughput rate multiplied by process lead time. Contrary to traditional manufacturing principles, the law of variation does not hold to computing centres, as the more variation in job lead times the better the throughput and utilisation of the system. We also show that as the utilisation of the system increases lead times and work-in-progress increase, which complies with traditional manufacturing. In comparison with current computing centre operations these results imply that better allocation of jobs could increase throughput and utilisation, while less computing resources are needed, thus increasing the overall efficiency of the centre. From a theoretical point of view, in a system with close to zero set-up times, as in the case of computing centres, the law of variation does not hold. We observe that the more variation in job lead times and resource usage, the higher the throughput of the system.
机译:通过分析有关大型计算机中心处理的工作的大型数据集,我们研究了运营管理原理如何应用于这些现代加工厂。我们表明,关于长期平均性能的利特尔定律适用于计算中心,即在制品等于吞吐率乘以流程提前期。与传统的制造原理相反,变化定律不适用于计算中心,因为工作提前期变化越大,系统的吞吐量和利用率越好。我们还表明,随着系统利用率的提高,前置时间和在制品数量也会增加,这与传统制造相符。与当前的计算中心运营相比,这些结果表明,更好地分配工作可以提高吞吐量和利用率,同时需要更少的计算资源,从而提高了中心的整体效率。从理论上讲,在建立时间接近零的系统中(例如在计算中心的情况下),变化规律不成立。我们观察到,作业提前期和资源使用的差异越大,系统的吞吐量就越高。

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