An Analysis of Failure-Related Energy Waste in a Large-Scale Cloud Environment
An Analysis of Failure-Related Energy Waste in a Large-Scale Cloud Environment
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DOI：
10.1109/tetc.2014.2304500
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发表时间：
2014-02
影响因子：
5.9
通讯作者：
Peter Garraghan;Ismael Solís Moreno;P. Townend;Jie Xu
中科院分区：
文献类型：
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作者：
Peter Garraghan;Ismael Solís Moreno;P. Townend;Jie Xu
云计算提供商在为客户提供可靠服务的同时，也面临着通过提高能源利用率来降低运营成本的巨大压力；因此，就能源成本而言，理解和量化系统内故障的明确影响是极其重要的。本文首次全面分析了现实世界中大型云系统（包括超过12500台服务器）的故障对能耗的影响，包括故障和能源趋势的时空环境特征研究。我们的结果表明，88%的任务失败事件发生在低优先级任务中，产生13%的总能源浪费，而1%的失败事件发生在高优先级任务中，原因是服务器故障，产生8%的总能源浪费。这些结果突出了故障对能源消耗的不直观但重要的影响，为可靠的能源感知云计算的研究提供了坚实的基础。
Cloud computing providers are under great pressure to reduce operational costs through improved energy utilization while provisioning dependable service to customers; it is therefore extremely important to understand and quantify the explicit impact of failures within a system in terms of energy costs. This paper presents the first comprehensive analysis of the impact of failures on energy consumption in a real-world large-scale cloud system (comprising over 12 500 servers), including the study of failure and energy trends of the spatial and temporal environmental characteristics. Our results show that 88% of task failure events occur in lower priority tasks producing 13% of total energy waste, and 1% of failure events occur in higher priority tasks due to server failures producing 8% of total energy waste. These results highlight an unintuitive but significant impact on energy consumption due to failures, providing a strong foundation for research into dependable energy-aware cloud computing.