Multiserver configuration for cloud service profit maximization in the presence of soft errors based on grouped grey wolf optimizer

doi:10.1016/j.sysarc.2022.102512

	Multiserver configuration for cloud service profit maximization in the presence of soft errors based on grouped grey wolf optimizer
	Cong, Peijin 1; Hou, Xiangpeng 1; Zou, Minhui 1; Dong, Jiangshan 2; Chen, Mingsong 3; Zhou, Junlong 1,4,5
	2022-06-01
发表期刊	JOURNAL OF SYSTEMS ARCHITECTURE
ISSN	1383-7621
卷号	127 页码:12
摘要	With the growing demand of cloud customers for computing resources, cloud computing has become more and more popular. As a pay-as-you-go model, cloud computing enables customers to use cloud services on demand anytime, anywhere over the Internet and it has become the backbone of modern economy. Obviously, profit maximization is especially important for cloud service providers (CSPs) in a competitive cloud service market. Extensive research papers have been conducted during the past few years for CSPs to optimize cloud service profit, whereas few of them considers the transient faults (resulting in soft errors) that may happen during service requests' execution and thus cause failed execution of these requests. In this paper, we study the multiserver configuration problem for cloud service profit maximization considering the deadline miss rate of service requests and the soft error reliability of the multiserver system. To solve the profit optimization problem, we first construct the models of multiserver system, deadline miss rate, and soft error reliability. Based on these models, we derive the models associated with cloud service revenue and cloud service costs. Then, we formulate the cloud service profit optimization problem and propose an effective grouped grey wolf optimizer (GWO)-based heuristic method that can determine the optimal multiserver configuration for a given customer demand to maximize cloud service profit. Experimental results show that the cloud service profit improvement achieved by our scheme can be up to 33.76% as compared with a state-of-the-art benchmark scheme.
关键词	Cloud computing Multiserver configuration Deadline miss rate Soft error reliability Profit
DOI	10.1016/j.sysarc.2022.102512
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018YFB2101300] ; National Natural Science Foundation of China[62172224] ; National Natural Science Foundation of China[61802185] ; National Natural Science Foundation of China[61872147] ; Natural Science Foundation of Jiangsu Province, China[BK20180470] ; Natural Science Foundation of Jiangsu Province, China[BK20190447] ; China Postdoctoral Science Foundation[BX2021128] ; China Postdoctoral Science Foundation[2021T140327] ; China Postdoctoral Science Foundation[2020M680068] ; Postdoctoral Science Foundation of Jiangsu Province, China[2021K066A] ; Open Research Fund of the State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences[CARCHA202105] ; Future Network Scientific Research Fund Project, China[FNSRFP-2021-YB-6] ; Open Research Fund of the National Trusted Embedded Software Engineering Technology Research Center (East China Normal University)
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号	WOS:000797269300004
出版者	ELSEVIER
引用统计	被引频次：3[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/2XEOYT63/19555
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhou, Junlong
作者单位	1.Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Peoples R China 2.Shanghai AI Lab, Shanghai 200062, Peoples R China 3.East China Normal Univ, Engn Res Ctr Software Hardware Codesign Technol &, Minist Educ, Shanghai 200062, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 5.East China Normal Univ, Natl Trusted Embedded Software Engn Technol Res Ct, Shanghai 200062, Peoples R China
推荐引用方式 GB/T 7714	Cong, Peijin,Hou, Xiangpeng,Zou, Minhui,et al. Multiserver configuration for cloud service profit maximization in the presence of soft errors based on grouped grey wolf optimizer[J]. JOURNAL OF SYSTEMS ARCHITECTURE,2022,127:12.
APA	Cong, Peijin,Hou, Xiangpeng,Zou, Minhui,Dong, Jiangshan,Chen, Mingsong,&Zhou, Junlong.(2022).Multiserver configuration for cloud service profit maximization in the presence of soft errors based on grouped grey wolf optimizer.JOURNAL OF SYSTEMS ARCHITECTURE,127,12.
MLA	Cong, Peijin,et al."Multiserver configuration for cloud service profit maximization in the presence of soft errors based on grouped grey wolf optimizer".JOURNAL OF SYSTEMS ARCHITECTURE 127(2022):12.