Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers

doi:10.1007/s11036-018-1062-7

	Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers
	Marahatta, Avinab 1,2; Wang, Youshi 1,2; Zhang, Fa 2,3; Sangaiah, Arun Kumar 4; Tyagi, Sumarga Kumar Sah 1,2; Liu, Zhiyong 2,5
	2019-06-01
发表期刊	MOBILE NETWORKS & APPLICATIONS
ISSN	1383-469X
卷号	24 期号:3 页码:1063-1077
摘要	As clouds have been implemented and widely used in various fields, both the size and the number of cloud data centers (CDCs) are growing rapidly. Serious problems have been raised, such as theinefficient use of resources, high energy consumption, and failure of heterogeneous task execution. Theexisting studies have aimed to solve these challenging problems separately, but it is difficult to optimize resources and energy efficiency while simultaneously providing fault-tolerance. In this study, a dynamic task assignment and scheduling scheme, namely, the energy-aware fault-tolerant dynamic scheduling scheme (EFDTS), is developed to coordinately optimize resource utilization and energy consumption with a fault tolerant mechanism. In the task assignment scheme, a task classification method is developed to partition the coming tasks into different classes and then allocate them to the most suitable virtual machines based on their classes to reduce the mean response time while considering energy consumption. Replication is used for the fault tolerance to minimize thetask rejection ratio caused by machine failure and delay. An elastic resource provisioning mechanism is designed in the context of fault-tolerance to improve resource utilization and energy efficiency. Furthermore, a migration policy is developed that can simultaneously improve resource utilization and energy efficiency. The experimental results show that compared with existing techniques, EFDTS significantly improves the overall scheduling performance, achieves a higher degree of fault tolerance with high CDC resource utilization, minimizes the mean response time and task rejection ratio, and reduces energy consumption.
关键词	Cloud computing Cloud data center Fault-tolerant Dynamic task scheduling Virtual machine Migration Energy-efficiency
DOI	10.1007/s11036-018-1062-7
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[61521092] ; National Key Research and Development Program of China[2016YFB0800400] ; CAS-TWAS Presidents Fellowship
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:000469238500029
出版者	SPRINGER
引用统计	被引频次：35[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/2XEOYT63/4218
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Liu, Zhiyong
作者单位	1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci CAS Beijing, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol ICT, Beijing, Peoples R China 3.Chinese Acad Sci, ICT, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 4.VIT Univ, Sch Comp Sci, Vellore, Tamil Nadu, India 5.Chinese Acad Sci, State Key Lab Comp Architecture, ICT, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Marahatta, Avinab,Wang, Youshi,Zhang, Fa,et al. Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers[J]. MOBILE NETWORKS & APPLICATIONS,2019,24(3):1063-1077.
APA	Marahatta, Avinab,Wang, Youshi,Zhang, Fa,Sangaiah, Arun Kumar,Tyagi, Sumarga Kumar Sah,&Liu, Zhiyong.(2019).Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers.MOBILE NETWORKS & APPLICATIONS,24(3),1063-1077.
MLA	Marahatta, Avinab,et al."Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers".MOBILE NETWORKS & APPLICATIONS 24.3(2019):1063-1077.