greenlot:绿色数据中心能耗调度

2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC) Pub Date : 2011-11-12 DOI:10.1145/2063384.2063411

Íñigo Goiri, Ryan Beauchea, Kien Le, Thu D. Nguyen, Md. E. Haque, Jordi Guitart, J. Torres, R. Bianchini

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引用次数: 319

摘要

在本文中，我们提出了greenlot，这是一个由光伏太阳能阵列和电网(作为备份)供电的数据中心的并行批处理作业调度器。GreenSlot预测在不久的将来可用的太阳能量，并安排工作量以最大限度地提高绿色能源消耗，同时满足工作的最后期限。如果必须使用电网能量以避免违反死线，调度程序将选择最便宜的时间。我们对生产科学工作负载的研究结果表明，与传统调度器相比，green - slot可以将绿色能源消耗提高117%，并将能源成本降低39%。基于这些积极的结果，我们得出结论，绿色数据中心和绿色能源意识调度可以在构建更可持续的IT生态系统中发挥重要作用。

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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GreenSlot: Scheduling energy consumption in green datacenters

In this paper, we propose GreenSlot, a parallel batch job scheduler for a datacenter powered by a photovoltaic solar array and the electrical grid (as a backup). GreenSlot predicts the amount of solar energy that will be available in the near future, and schedules the workload to maximize the green energy consumption while meet- ing the jobs' deadlines. If grid energy must be used to avoid dead- line violations, the scheduler selects times when it is cheap. Our results for production scientific workloads demonstrate that Green-Slot can increase green energy consumption by up to 117% and decrease energy cost by up to 39%, compared to a conventional scheduler. Based on these positive results, we conclude that green datacenters and green-energy-aware scheduling can have a significant role in building a more sustainable IT ecosystem.

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2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC)

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