Paper Info
Title
A Fine-Grained Performance Model of Cloud Computing Centers
Abstract
Accurate performance evaluation of cloud computing resources is a necessary prerequisite for ensuring that quality of service parameters remain within agreed limits. In this paper, we employ both the analytical and simulation modeling to addresses the complexity of cloud computing systems. Analytical model is comprised of distinct functional submodels, the results of which are combined in an iterative manner to obtain the solution with required accuracy. Our models incorporate the important features of cloud centers such as batch arrival of user requests, resource virtualization, and realistic servicing steps, to obtain important performance metrics such as task blocking probability and total waiting time incurred on user requests. Also, our results reveal important insights for capacity planning to control delay of servicing users requests.
Year
DOI
Venue
2013
10.1109/TPDS.2012.280
IEEE Trans. Parallel Distrib. Syst.
Keywords
DocType
Volume
fine-grained performance model,important feature,cloud center,realistic servicing step,user request,cloud computing centers,accurate performance evaluation,important performance metrics,cloud computing resource,cloud computing system,servicing users request,important insight,quality of service,cloud computing,response time,fixed point iteration,queuing theory,computational modeling
Journal
24
Issue
ISSN
Citations 
11
1045-9219
44
PageRank 
References 
Authors
1.22
18
3
Name
Order
Citations
PageRank
Hamzeh Khazaei122317.82
Jelena Mišić21426178.36
Vojislav B. Mišić3899129.89