DocumentCode :
576793
Title :
Flexible CPU Provisioning in Clouds: A New Source of Performance Unpredictability
Author :
Cerotti, D. ; Gribaudo, M. ; Piazzolla, P. ; Serazzi, G.
Author_Institution :
DEI-Dipt. di Elettron. ed Inf., Politec. di Milano, Milan, Italy
fYear :
2012
fDate :
17-20 Sept. 2012
Firstpage :
230
Lastpage :
237
Abstract :
Flexibility is an important characteristic of cloud computing: users can dynamically lease resources only when needed. While this feature brings along various benefits, there are several drawbacks and among them performance unpredictability is a major issue. In this paper we investigate the effects of a new source of variability introduced by the flexible CPUs allocation policy supported by several IaaS providers. According to this policy, CPUs with different computing power may be allocated to the same VM type. We will show through experiments on Amazon EC2 platform that the range of CPUs, allocated transparently to the users, may lead to very different performance experienced by an application executed with the same VM type. To perform our studies we developed a benchmark application that can either run with a predetermined workload, or scale the service demand according to the computational power of the allocated CPU. We also executed some benchmarks of the well known DaCapo suite, that is composed by real world open source applications. The collected measurements illustrate that the fluctuations of performance due to the flexible allocation policy may be very high and unpredictable.
Keywords :
cloud computing; virtual machines; Amazon EC2 platform; DaCapo suite; cloud computing; flexible CPU allocation policy; flexible CPU provisioning; performance unpredictability; Benchmark testing; Calibration; Clocks; Program processors; Resource management; Time factors; Virtual machining; Amazon EC2; cloud computing; performance evaluation; performance models; virtual machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quantitative Evaluation of Systems (QEST), 2012 Ninth International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4673-2346-8
Electronic_ISBN :
978-0-7695-4781-7
Type :
conf
DOI :
10.1109/QEST.2012.23
Filename :
6354655
Link To Document :
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