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

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 d...

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Bibliographic Details
Published inCluster computing Vol. 20; no. 4; pp. 3199 - 3212
Main Authors Xue, Shengjun, Zhang, Yiyun, Xu, Xiaolong, Xing, Guowen, Xiang, Haolong, Ji, Sai
Format Journal Article
LanguageEnglish
Published New York Springer US 01.12.2017
Springer Nature B.V
Subjects
Algorithms
Business metrics
Cloud computing
Computer centers
Computer Communication Networks
Computer Science
Customer services
Energy consumption
Energy efficiency
Energy management
Operating Systems
Processor Architectures
Quality of service
Response time
Scheduling
Task scheduling
Task scheduling
Energy consumption
QoS
Cloud
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Summary: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.
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-017-1047-5