期刊论文

Tang, Xiaoyong

英文

Cluster Computing

1386-7857

2018

21

3

1581-1593

10.1007/s10586-018-2154-7

This research was partially funded by the National Key Research and Development Program of China (Grant No. 2016YFB0201402), National Science Foundation of China (Grant Nos. 61370098, 61672219), Hunan Provincial Natural Science Foundation of China (Grant No. 2015JJ2078), the Hunan Provincial Innovation Foundation For Postgraduate (Grant No. CX2016B316). A lot of thanks should be given to referees and editors,their valuable comments greatly improved the quality of the manuscript. We also thank yufayun data center that provides the workload system log files.

本校为第一且通讯机构

Data centers are the backbone of cloud infrastructure platform to support large-scale data processing and storage. More and more business-to-consumer and enterprise applications are based on cloud data center. However, the amount of data center energy consumption is inevitably lead to high operation costs. The aim of this paper is to comprehensive reduce energy consumption of cloud data center servers, network, and cooling systems. We first build an energy efficient cloud data center system including its architecture, job and power consumption ...