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A Multi-Objective Optimization Method of Initial Virtual Machine Fault-Tolerant Placement for Star Topological Data Centers of Cloud Systems 被引量:6

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摘要 Virtualization is the most important technology in the unified resource layer of cloud computing systems.Static placement and dynamic management are two types of Virtual Machine(VM)management methods.VM dynamic management is based on the structure of the initial VM placement,and this initial structure will affect the efficiency of VM dynamic management.When a VM fails,cloud applications deployed on the faulty VM will crash if fault tolerance is not considered.In this study,a model of initial VM fault-tolerant placement for star topological data centers of cloud systems is built on the basis of multiple factors,including the service-level agreement violation rate,resource remaining rate,power consumption rate,failure rate,and fault tolerance cost.Then,a heuristic ant colony algorithm is proposed to solve the model.The service-providing VMs are placed by the ant colony algorithms,and the redundant VMs are placed by the conventional heuristic algorithms.The experimental results obtained from the simulation,real cluster,and fault injection experiments show that the proposed method can achieve better VM fault-tolerant placement solution than that of the traditional first fit or best fit descending method.
出处 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2021年第1期95-111,共17页 清华大学学报(自然科学版(英文版)
基金 supported by the National Natural Science Foundation of China(Nos.61432017 and 61772199)。
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  • 1黄海林,唐志敏,许彤.龙芯1号处理器的故障注入方法与软错误敏感性分析[J].计算机研究与发展,2006,43(10):1820-1827. 被引量:31
  • 2Armbrust M, Fox A, Griffith R et al. A view of cloud computing. Communications of the ACM, 2010, 53(4): 50 58. 被引量:1
  • 3Patterson D, Brown A, BroadweIl P et al. Recovery oriented computing (ROC).. Motivation, definition, techniques, and case studies. Berkeley: UC Berkeley, Technical Report: UCB/CSD-02-1175 , 2002. 被引量:1
  • 4Clark C, Fraser K, Hand Set al. Live migration of virtual machines//Proceedings of the 2nd USENIX Symposium on Networked Systems Design and Implementation (NSDI'05). Boston, 2005: 273-286. 被引量:1
  • 5Zhu X, Young D, Watson B.J, Wang Z et al. 1000 lslands: An integrated approach to resource management forvirtualized data centers. Cluster Computing, 2008, 12(1): 45-57. 被引量:1
  • 6Li Bo, Li Jian Xin, Huai Jin-Peng et al. EnaCloud: An energy saving application live placement approach for cloud computing environments//Proceedings of the International Conference on Cloud Computing. Bangalore, 2009:17-24. 被引量:1
  • 7Ajiro Y, Tanaka A. Improving packing algorithms for server consolidation//Proceedings of the 33rd International Computer Measurement Group Conference. San Diego, 2007:399-406. 被引量:1
  • 8Gupta R, Bose S. K, Sundarrajan Set al. A two stage heuristic algorithm for solving server consolidation problem with item-item and bin-item incompatibility constraints//Proceedings of the 2008 IEEE International Conference on Services Computing (SCC'08). Hawaii, 2008:39-46. 被引量:1
  • 9Agrawal S, Bose S K, Sundarrajan S. Grouping genetic algorithm for solving the server consolidation with conflicts// Proceedings of the 1st ACM/SIGEVO Summit Genetic and Evolutionary Computation. New York, 2009:1-8. 被引量:1
  • 10Wood T, Sbenoy P J, Venkataramani A. Black-box and gray-box strategies for virtual machine migration//Proceedings of the 4th USENIX Symposium on Networked Systems Design and Implementation (NSDI' 07). Cambridge, MA, 2007 : 229-242. 被引量:1

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