高性能数据中心典型应用能效优化概述

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI:10.1109/ICPECA51329.2021.9362524

Weidong Wu, Haiyang Chen, Kuanhong Li, Jun Yu

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引用次数: 1

摘要

数据的快速增长给云计算数据中心的存储和计算能力带来了巨大的挑战，同时伴随着巨大的能源消耗。Hadoop作为当前云计算数据中心大数据存储和计算的主要框架，在能效方面还没有进行优化。本文研究了数据中心Hadoop框架组件能效优化的关键技术，包括YARN节能调度策略和HDFS节能存储策略的最新研究成果。

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Overview of typical application energy efficiency optimization in high-performance data centers

The rapid growth of data has brought huge challenges to the storage and computing capabilities of the cloud computing data center, which is accompanied by huge energy consumption. Hadoop, as the main framework of big data storage and calculation in the current cloud computing data center, has not been optimized for energy efficiency. This paper studies the key technologies of energy efficiency optimization of Hadoop framework components in the data center, including the latest research results of YARN energysaving scheduling strategies and distributed file system (HDFS) energy-saving storage strategies.

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来源期刊

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)

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