绿色云数据中心两阶段虚拟机布局算法的评估

2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) Pub Date : 2019-06-01 DOI:10.1109/FAS-W.2019.00028

Fabio López-Pires, B. Barán, Carolina Pereira, Marcelo Velázquez, Osvaldo González

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引用次数: 2

摘要

云计算数据中心是一个能源密集型行业，具有众所周知的经济和生态挑战。这项工作的重点是虚拟机放置(VMP)问题，作为解决上述挑战的有效替代方案。对36种VMP优化算法进行了功耗最小化的实验评估。在4种不同动态参数的不确定性下，考虑400个实验场景，以平均目标函数代价为评价标准，对算法进行了评价。实验结果表明，考虑基于预测的VMPr触发和基于更新的VMPr恢复方法的两阶段算法最适合于功耗最小化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evaluation of Two-Phase Virtual Machine Placement Algorithms for Green Cloud Datacenters

Cloud Computing Datacenters represent a power-intensive industry with well-known economical and ecological challenges. This work focusses on Virtual Machine Placement (VMP) problems as a valid alternative to address mentioned challenges. An experimental evaluation of 36 VMP optimization algorithms for power consumption minimization is presented. Algorithms were evaluated under uncertainty of 4 different dynamic parameters, considering 400 experimental scenarios and taking into account an average objective function cost as evaluation criterion. Experimental results indicate that two-phase algorithms considering predictionbased VMPr Triggering and update-based VMPr Recovering methods are best suited for power consumption minimization.

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2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)

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