在机会型高性能计算环境中提高吞吐量的一种高级保留机制

Eliza Gomes, M. Dantas
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引用次数: 4

摘要

机会型高性能计算环境由于可以利用个人机器的闲置计算资源,以较低的成本获得较高的处理能力,尤其受到学术界的广泛应用。然而,过多的资源分配请求可能会反复出现,并且会降低系统的性能,并使资源请求的处理对用户来说更加困难,用户可能不得不重复这个过程,直到执行资源可用为止。因此,本文提出在机会主义环境下使用提前预约机制。它的目的是改善机会性资源的使用流程,以便提供长期分配资源的可能性,而不仅仅是在请求时分配资源。利用本文提出的方法进行了案例研究,以说明机会主义环境的行为,结果表明了我们的建议的有效性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Advance Reservation Mechanism to Enhance Throughput in an Opportunistic High Performance Computing Environment
Opportunistic high performance computing environments have been widely used, especially by the academic community owing to the possibility of obtaining high processing power with low cost, considering that this type of distributed high performance environments uses idle computing resources of personal machines. However, excessive requests of resources allocation can be recurrent and can both degrade the performance of the system and make the process of resource request harder for the user, who might have to repeat this process until resources for execution are available. Therefore, this paper proposes the use of an advance reservation mechanism in an opportunistic environment. It aims to improve the use flow of opportunistic resources in order to offer the possibility of resources allocation for a long period of time and not only at the time of request. Case studies were carried out to illustrate the behavior of an opportunistic environment using the approach proposed here, and results showed the efficiency and validity of our proposal.
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