DocumentCode :
1595174
Title :
Evaluating the Auto Scaling Performance of Flexiscale and Amazon EC2 Clouds
Author :
Ferraris, F.L. ; Franceschelli, D. ; Gioiosa, M.P. ; Lucia, D. ; Ardagna, D. ; Di Nitto, Elisabetta ; Sharif, T.
Author_Institution :
Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
fYear :
2012
Firstpage :
423
Lastpage :
429
Abstract :
Nowadays cloud computing is becoming one of the most used technological solution to achieve scalability and reduce costs. Scalability is a key point for the success of any business involving the Web and providing services to end-user requests that may vary drastically from one time to another. Sizing a system to provide performance guarantees under peak traffic can be cost prohibitive, the main advantage of cloud computing lays in the opportunity to allocate resources on-demand on a pay per use basis. In this paper we extend Flexi scale public cloud with auto scaling mechanisms and compare these mechanisms with those offered by Amazon. The analysis aims at identifying useful patterns for the execution of Web applications in the cloud and at underlining the critical factors that affect the performance of the two providers. We performed a large set of experiments that demonstrated the importance of tuning correctly the auto scaling parameters.
Keywords :
Web services; cloud computing; pattern recognition; performance evaluation; resource allocation; telecommunication traffic; Amazon EC2 clouds; Web application execution; Web involved business; auto scaling mechanisms; auto scaling parameters; auto scaling performance evaluation; cloud computing; end-user requests; flexiscale public cloud; on-demand resource allocation; pay per use basis; peak traffic; useful pattern identification; Availability; Cloud computing; Load management; Measurement; Monitoring; Scalability; Servers; Cloud computing; auto scaling; scalability; virtualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2012 14th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4673-5026-6
Type :
conf
DOI :
10.1109/SYNASC.2012.58
Filename :
6481061
Link To Document :
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