中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers

文献类型:期刊论文

作者Zhang, Fa3,4; Sangaiah, Arun Kumar2; Tyagi, Sumarga Kumar Sah4,5; Liu, Zhiyong1,4; Marahatta, Avinab4,5; Wang, Youshi4,5
刊名MOBILE NETWORKS & APPLICATIONS
出版日期2019-06-01
卷号24期号:3页码:1063-1077
关键词Cloud computing Cloud data center Fault-tolerant Dynamic task scheduling Virtual machine Migration Energy-efficiency
ISSN号1383-469X
DOI10.1007/s11036-018-1062-7
英文摘要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.
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
语种英语
WOS记录号WOS:000469238500029
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/4217]  
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.Chinese Acad Sci, State Key Lab Comp Architecture, ICT, Beijing, Peoples R China
2.VIT Univ, Sch Comp Sci, Vellore, Tamil Nadu, India
3.Chinese Acad Sci, ICT, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
4.Chinese Acad Sci CAS Beijing, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol ICT, Beijing, Peoples R China
5.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Fa,Sangaiah, Arun Kumar,Tyagi, Sumarga Kumar Sah,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 Zhang, Fa,Sangaiah, Arun Kumar,Tyagi, Sumarga Kumar Sah,Liu, Zhiyong,Marahatta, Avinab,&Wang, Youshi.(2019).Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers.MOBILE NETWORKS & APPLICATIONS,24(3),1063-1077.
MLA Zhang, Fa,et al."Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers".MOBILE NETWORKS & APPLICATIONS 24.3(2019):1063-1077.

入库方式: OAI收割

来源:计算技术研究所

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