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A heuristic approach for the allocation of resources in large-scale computing infrastructures

机译:大规模计算基础架构中资源分配的启发式方法

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摘要

An increasing number of enterprise applications are intensive in their consumption of IT but are infrequently used. Consequently, either organizations host an oversized IT infrastructure or they are incapable of realizing the benefits of new applications. A solution to the challenge is provided by the large-scale computing infrastructures of clouds and grids, which allow resources to be shared. A major challenge is the development of mechanisms that allow efficient sharing of IT resources. Market mechanisms are promising, but there is a lack of research in scalable market mechanisms. We extend the multi-attribute combinatorial exchange mechanism with greedy heuristics to address the scalability challenge. The evaluation shows a trade-off between efficiency and scalability. There is no statistical evidence for an influence on the incentive properties of the market mechanism. This is an encouraging result as theory predicts heuristics to ruin the mechanism's incentive properties. Copyright © 2015 John Wiley & Sons, Ltd.
机译:越来越多的企业应用程序对IT的消耗很大,但很少使用。因此,组织要么拥有一个庞大的IT基础架构,要么无法实现新应用程序的好处。云和网格的大规模计算基础架构提供了应对挑战的解决方案,从而可以共享资源。一个主要的挑战是开发允许有效共享IT资源的机制。市场机制是有前途的,但是缺乏可扩展市场机制的研究。我们用贪婪的启发式方法扩展了多属性组合交换机制,以解决可伸缩性挑战。评估显示了效率和可伸缩性之间的权衡。没有统计证据可以影响市场机制的激励特性。这是令人鼓舞的结果,因为理论预测启发法会破坏该机制的激励特性。版权所有©2015 John Wiley&Sons,Ltd.

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