SpeQuloS:使用尽力而为分布式计算基础设施的BoT应用程序的QoS服务

Simon Delamare, G. Fedak, Derrick Kondo, O. Lodygensky
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引用次数: 38

摘要

利用尽力而为的分布式计算基础设施(BE-DCIs),运营商可以最大限度地利用基础设施,用户可以以相对较低的成本访问未使用的资源。由于提供商不能保证在其应用程序的整个执行过程中计算资源对用户保持可用,因此与传统基础设施相比,它们提供的服务质量(QoS)有所降低。对几种be - dci上的任务包(BoT)应用程序的执行进行分析表明,它们的任务完成率在执行接近尾声时下降。在本文中,我们提出了SpeQuloS框架,该框架通过减少执行时间、提高其稳定性和向用户报告预测完成时间来增强在BE-DCIs上执行的BoT应用程序的QoS。SpeQuloS监控BoT在be - dci上的执行情况,并在BoT的关键部分执行时动态提供快速可靠的云资源。我们介绍了服务的设计和开发,以及决定何时以及如何提供云资源的几种策略。通过仿真进行的性能评估表明,SpeQuloS实现了目标。它加快了bot的执行速度,在最好的情况下是2倍以上,同时将不到2.5%的工作负载卸载到云上。我们报告作为欧洲桌面网格基础设施一部分的复杂部署后的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SpeQuloS: a QoS service for BoT applications using best effort distributed computing infrastructures
Exploitation of Best Effort Distributed Computing Infrastructures (BE-DCIs) allow operators to maximize the utilization of the infrastructures, and users to access the unused resources at relatively low cost. Because providers do not guarantee that the computing resources remain available to the user during the entire execution of their applications, they offer a diminished Quality of Service (QoS) compared to traditional infrastructures. Profiling the execution of Bag-of-Tasks (BoT) applications on several kinds of BE-DCIs demonstrates that their task completion rate drops near the end of the execution. In this paper, we present the SpeQuloS framework which enhances the QoS of BoT applications executed on BE-DCIs by reducing the execution time, improving its stability, and reporting to users a predicted completion time. SpeQuloS monitors the execution of the BoT on the BE-DCIs, and dynamically supplies fast and reliable Cloud resources when the critical part of the BoT is executed. We present the design and development of the service and several strategies to decide when and how Cloud resources should be provisioned. Performance evaluation using simulations shows that SpeQuloS fulfill its objectives. It speeds-up the execution of BoTs, in the best cases by a factor greater than 2, while offloading less than 2.5% of the workload to the Cloud. We report on preliminary results after a complex deployment as part of the European Desktop Grid Infrastructure.
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