AI 中文总结
本文通过对运营数据中心的功耗测量及高吞吐量工作负载的功耗技术研究,指出数据中心降能耗的障碍,提出兼顾性能与碳排放的服务器能效优化可行建议。
AI 中文摘要
数据中心消耗的大量能源已成为成本及相关碳排放方面的关注点。服务器能效是数据中心运营者的关键考量,了解服务器在不同运行条件下的功耗是其重要组成部分。本文针对高吞吐量计算开展一项基于测量的案例研究,分析某运营中数据中心的功耗信息,并结合针对代表性高吞吐量工作负载的功耗降低技术的重点测量。该研究指出数据中心运营者在努力最小化能源消耗与碳排放时遇到的障碍,探讨服务器配置调整对处理作业能耗的影响,同时兼顾性能与碳排放,提供降低服务器能源使用的可行建议。
英文摘要
The significant energy consumed by data centers has become a concern both for costs and associated carbon emissions. In particular, the energy efficiency of servers is a key consideration for data center operators, and understanding servers' power consumption under different operating conditions is an important aspect of it. In this paper, we present a measurement-based case study of high-throughput computing. We analyze power usage information of an operational data center, combined with focused measurements of power reduction techniques for a representative high-throughput workload. The study points out the obstacles encountered by data center operators in their efforts to minimize energy consumption and carbon emissions, and discusses the impact of server configuration adjustments on the energy consumption of processing jobs. We offer actionable recommendations for decreasing the energy usage of servers, while considering both performance and carbon emissions.