Research Area: Cloud Computing
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.
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Author(s) Name: Shengjun Xue, Yiyun Zhang, Xiaolong Xu, Guowen Xing, Haolong Xiang & Sai Ji
Journal name: Cluster Computing
Conferrence name:
Publisher name: Springer
DOI: 10.1007/s10586-017-1047-5
Volume Information: volume 20, pages 3199–3212 (2017)
