A queuing model considering resources sharing for cloud service performance

被引：0
作者：
Xiaodong Liu
Songyang Li
Weiqin Tong
机构：
[1] Henan Institute of Engineering,School of Computer
[2] Shanghai University,School of Computer Engineering and Science
来源：
The Journal of Supercomputing | 2015年 / 71卷
关键词：
Cloud computing; Performance analysis; Queuing model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Cloud computing is a novel paradigm for the provision of service on demand. Performance analysis of cloud computing is required to predict the corresponding quality of service experienced by users. Although there are some researches on cloud service performance, very few of them considered the impact of resources sharing among virtual machines (VMs). This paper presents a queuing model for performance analysis of cloud services. The model considers the resources sharing among VMs. The service requests are relaxed compared with prior research. A service request is divided into many subtasks and each subtask is served by a VM. Multiple VMs share the same underlying physical resources. The performance indicators such as the average response time, blocking probability are obtained, and a numerical example is presented.
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收藏
页码：4042 / 4055
页数：13
相关论文
共 32 条
  • [1] Rajkumarbuyya CY(2009)Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility Future Gener Comput Syst 25 599-616
  • [2] Venugopal S(2013)A fine-grained performance model of cloud computing centers IEEE Trans Parallel Distrib Syst 24 2138-2147
  • [3] Khazaei H(2011)Performance analysis of cloud computing services for many-tasks scientific computing IEEE Trans Parallel Distrib Syst 22 931-945
  • [4] Iosup A(2014)A stochastic model to investigate datacenter performance and QoS in IaaS cloud computing systems IEEE Trans Parallel Distrib Syst 25 560-569
  • [5] Ostermann S(2013)Performance indicator evaluation for a cloud computing system from QoS viewpoint Qual Quant 47 1605-1616
  • [6] Yigitbasi MN(2013)Performance evaluation of cloud service considering fault recovery J Supercomput 65 426-444
  • [7] Bruneo D(2012)Performance analysis of cloud computing centers using M/G/m/m+ r queuing system IEEE Trans Parallel Distrib Syst 23 936-943
  • [8] Lin YK(2014)A queuing theory model for cloud computing J Supercomput 69 492-507
  • [9] Chang PC(2007)A hierarchical modeling and analysis for grid service reliability IEEE Trans Comput 56 681-691
  • [10] Yang B(2006)Reliability and performance of star topology grid service with precedence constraints on subtask execution IEEE Trans Reliab 55 507-515
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