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Replicated Computations Results (RCR) Report for 'A Holistic Approach for Collaborative Workload Execution in Volunteer Clouds'

机译:“志愿者云中协作工作负载执行的整体方法”的复制计算结果(RCR)报告

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摘要

"A Holistic Approach for Collaborative Workload Execution in Volunteer Clouds" [3] proposes a novel approach to task scheduling in volunteer clouds. Volunteer clouds are decentralized cloud systems based on collaborative task execution, where clients voluntarily share their own unused computational resources. By using simulation-based statistical analysis techniques-in particular, statistical model checking-the authors show that their approach can outperform existing distributed task scheduling algorithms in the case of computation-intensive workloads. The analysis considered a realistic workload benchmark provided by Google. This replicated computations results report focuses on the prototypical tool implementation used in the article to perform such analysis. The software was straightforward to install and use, and a representative part of the experimental results from the article could be reproduced in reasonable time using a standard laptop.
机译:“在志愿者云中执行协作工作负载的整体方法” [3]提出了一种在志愿者云中进行任务调度的新方法。志愿者云是基于协作任务执行的分散式云系统,客户可以在其中自愿共享自己未使用的计算资源。通过使用基于仿真的统计分析技术,尤其是统计模型检查,作者表明,在计算密集型工作负载的情况下,他们的方法可以胜过现有的分布式任务调度算法。该分析考虑了Google提供的切实可行的工作负载基准。该复制的计算结果报告重点介绍了本文中用于执行此类分析的原型工具实现。该软件易于安装和使用,并且可以使用标准笔记本电脑在合理的时间内复制本文实验结果的代表性部分。

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