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The Journal of Supercomputing

Erschienen in:

01.11.2015

A queuing model considering resources sharing for cloud service performance

verfasst von: Xiaodong Liu, Songyang Li, Weiqin Tong

Erschienen in: The Journal of Supercomputing | Ausgabe 11/2015

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Abstract

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.

Vorheriger Artikel Formulating broadcast reliability equations on multilayer multistage interconnection networks

Nächster Artikel KL_GA: an application mapping algorithm for mesh-of-tree (MoT) architecture in network-on-chip design

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Rajkumarbuyya CY, Venugopal S (2009) Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener Comput Syst 25(6):599–616CrossRef

Fox A, Griffith R, Joseph A, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I (2009) Above the clouds: a Berkeley view of cloud computing. Electrical Eng. and Comput Sciences, University of California, Berkeley

Khazaei H (2013) A fine-grained performance model of cloud computing centers. IEEE Trans Parallel Distrib Syst 24(11):2138–2147CrossRef

Dong F, Luo J, Jin J et al (2012) Performance evaluation and analysis of SEU cloud computing platform. In: IEEE international conference on systems, man, and cybernetics, pp 1455–1460

Jackson KR, Ramakrishnan L, Muriki K et al (2010) Performance analysis of high performance computing applications on the amazon web services cloud. In: 2nd IEEE international conference on cloud computing technology and science, pp 159–168

Iosup A, Ostermann S, Yigitbasi MN et al (2011) Performance analysis of cloud computing services for many-tasks scientific computing. IEEE Trans Parallel Distrib Syst 22(6):931–945CrossRef

Bruneo D (2014) A stochastic model to investigate datacenter performance and QoS in IaaS cloud computing systems. IEEE Trans Parallel Distrib Syst 25(3):560–569CrossRef

Lin YK, Chang PC (2013) Performance indicator evaluation for a cloud computing system from QoS viewpoint. Qual Quant 47:1605–1616MathSciNetCrossRef

Yang B, Tan F, Dai YS (2013) Performance evaluation of cloud service considering fault recovery. J Supercomput 65(1):426–444CrossRef

10.

Khazaei H (2012) Performance analysis of cloud computing centers using M/G/m/m+ r queuing system. IEEE Trans Parallel Distrib Syst 23(5):936–943CrossRef

11.

Vilaplana J, Solsona F, Teixid I et al (2014) A queuing theory model for cloud computing. J Supercomput 69(1):492–507CrossRef

12.

Xiong K, Perros H (2009) Service performance and analysis in cloud computing. In: World conference on services, pp 693–700

13.

Dai YS, Pan Y, Zou X (2007) A hierarchical modeling and analysis for grid service reliability. IEEE Trans Comput 56:681–691MathSciNetCrossRef

14.

Levitin G, Dai YS, Ben-Haim H (2006) Reliability and performance of star topology grid service with precedence constraints on subtask execution. IEEE Trans Reliab 55(3):507–515CrossRef

15.

Lee HM, Jeong Y-S, Jang HJ (2014) Performance analysis based resource allocation for green cloud computing. J Supercomput 69(3):1013–1026CrossRef

16.

Khazaei H (2014) Performance of cloud centers with high degree of virtualization under batch task arrivals. IEEE Trans Parallel Distrib Syst 24(12):2429–2438CrossRef

17.

Liu X, Tong W, Zhi X et al (2014) Performance analysis of cloud computing services considering resources sharing among virtual machines. J Supercomput 69(1):357–374CrossRef

18.

Suresh Varma P, Satyanarayana A, Sundari R (2012) Performance analysis of cloud computing using queuing models. In: International conference on cloud computing, technologies, applications & management, pp 12–15

19.

Meng X, Isci C, Kephart J et al (2010) Efficient resource provisioning in compute clouds via VM multiplexing. In: Proceedings of the 7th international conference on autonomic computing, pp 11–20

20.

Armbrust M, Fox A, Griffith R et al (2010) A view of cloud computing. Commun ACM 53(4):50–58CrossRef

Titel: A queuing model considering resources sharing for cloud service performance
verfasst von: Xiaodong Liu
Songyang Li
Weiqin Tong
Publikationsdatum: 01.11.2015
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 11/2015
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-015-1503-z

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