QET : a QoS-based energy-aware task scheduling method in cloud environment

被引:0
|
作者
Xue, Shengjun [1 ,2 ]
Zhang, Yiyun [1 ,2 ]
Xu, Xiaolong [1 ,2 ,3 ]
Xing, Guowen [1 ,2 ]
Xiang, Haolong [3 ]
Ji, Sai [1 ,2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Jiangsu Engn Ctr Network Monitoring, Nanjing 210044, Jiangsu, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China
[3] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210023, Jiangsu, Peoples R China
基金
美国国家科学基金会;
关键词
Cloud; Task scheduling; Energy consumption; QoS; DATA CENTERS; EFFICIENT; OPTIMIZATION; CONSUMPTION; MANAGEMENT;
D O I
10.1007/s10586-017-1047-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Currently, energy consumption for cloud data centers has attracted much attention from both industry and academia. Meanwhile, it is also important to satisfy the customers' quality of service (QoS) for cloud service providers. However, it is still a challenge to achieve energy savings based on QoS during task scheduling. In this paper, a QoS-based energy-aware task scheduling method, named QET, in cloud environment is proposed to address the above challenge. Technically, an energy consumption model based on QoS is proposed for heterogeneous cloud environment. And a corresponding task scheduling method is designed to minimize the energy consumption through QoS-aware PM selection. Comprehensive experimental analysis is conducted to evaluate the efficiency and effectiveness of our proposed method.
引用
收藏
页码:3199 / 3212
页数:14
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