Classification-Based and Energy-Efficient Dynamic Task Scheduling Scheme for Virtualized Cloud Data Center

doi:10.1109/TCC.2019.2918226

	Classification-Based and Energy-Efficient Dynamic Task Scheduling Scheme for Virtualized Cloud Data Center
	Marahatta, Avinab 1,2; Pirbhulal, Sandeep 3; Zhang, Fa 2; Parizi, Reza M.4; Choo, Kim-Kwang Raymond 5; Liu, Zhiyong 2
	2021-10-01
发表期刊	IEEE TRANSACTIONS ON CLOUD COMPUTING
ISSN	2168-7161
卷号	9 期号:4 页码:1376-1390
摘要	The size and number of cloud data centers (CDCs) have grown rapidly with the increasing popularity of cloud computing and high-performance computing. This has the unintended consequences of creating new challenges due to inefficient use of resources and high energy consumption. Hence, this necessitates the need to maximize resource utilization and ensure energy efficiency in CDCs. One viable approach to achieve energy efficiency and resource utilization in CDC is task scheduling. While several task scheduling approaches have been proposed in the literature, there appears to be a lack of classification-based merging concept for real-time tasks in these existing approaches. Thus, an energy-efficient dynamic scheduling scheme (EDS) of real-time tasks for virtualized CDC is presented in this paper. In the scheduling scheme, the heterogeneous tasks and virtual machines are first classified based on a historical scheduling record. Then, similar type of tasks are merged and scheduled to maximally utilize an operational state of the host. In addition, energy efficiencies and optimal operating frequencies of heterogeneous physical hosts are employed to attain energy preservation while creating and deleting the virtual machines. Experimental results show that, in comparison with existing techniques, EDS significantly improves overall scheduling performance, achieves a higher CDC resource utilization, increases task guarantee ratio, minimizes the mean response time, and reduces energy consumption.
关键词	Cloud data center virtualization energy efficiency task scheduling task merging virtual machine
DOI	10.1109/TCC.2019.2918226
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61520106005] ; National Natural Science Foundation of China[61761136014] ; National Key Research and Development Program of China[2017YFB1010001] ; CAS-TWAS President's Fellowship at Chinese Academy of Sciences, Beijing, China ; Cloud Technology Endowed Professorship ; NSF CREST Grant[HRD-1736209]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000725800700008
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：37[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/18164
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Choo, Kim-Kwang Raymond; Liu, Zhiyong
作者单位	1.Univ Chinese Acad Sci, Huairou 101408, Peoples R China 2.Chinese Acad Sci, High Performance Comp Res Ctr, Inst Comp Technol, Beijing 100091, Peoples R China 3.Chinese Acad Sci, Shenzhen Inst Adv Technol, CAS Key Lab Human Machine Intelligence Synergy Sy, Shenzhen 518058, Peoples R China 4.Kennesaw State Univ, Dept Software Engn & Game Dev, Marietta, GA 30060 USA 5.Univ Texas San Antonio, Dept Informat Syst & Cyber Secur, San Antonio, TX 78249 USA
推荐引用方式 GB/T 7714	Marahatta, Avinab,Pirbhulal, Sandeep,Zhang, Fa,et al. Classification-Based and Energy-Efficient Dynamic Task Scheduling Scheme for Virtualized Cloud Data Center[J]. IEEE TRANSACTIONS ON CLOUD COMPUTING,2021,9(4):1376-1390.
APA	Marahatta, Avinab,Pirbhulal, Sandeep,Zhang, Fa,Parizi, Reza M.,Choo, Kim-Kwang Raymond,&Liu, Zhiyong.(2021).Classification-Based and Energy-Efficient Dynamic Task Scheduling Scheme for Virtualized Cloud Data Center.IEEE TRANSACTIONS ON CLOUD COMPUTING,9(4),1376-1390.
MLA	Marahatta, Avinab,et al."Classification-Based and Energy-Efficient Dynamic Task Scheduling Scheme for Virtualized Cloud Data Center".IEEE TRANSACTIONS ON CLOUD COMPUTING 9.4(2021):1376-1390.