DocumentCode
3150472
Title
SaaS performance and scalability evaluation in clouds
Author
Gao, Jerry ; Pattabhiraman, Pushkala ; Bai, Xiaoying ; Tsai, W.T.
Author_Institution
San Jose State Univ., San Jose, CA, USA
fYear
2011
fDate
12-14 Dec. 2011
Firstpage
61
Lastpage
71
Abstract
Cloud computing not only changes today´s computing infrastructure, but also alters the way of obtaining computing resources, managing and delivering software and services. Meanwhile, cloud computing brings new issues, challenges, and needs in performance testing, evaluation and scalability measurement due to the special features of cloud computing, such as elasticity and scalability. This paper focuses on performance evaluation and scalability measurement issue for Software as a Service (SaaS) in clouds. It proposes new formal graphic models and metrics to evaluate SaaS performance and analyze system scalability in clouds. In addition, the paper reports an evaluation approach based on Amazon´s EC2 cloud technology and detailed case study results using the proposed models and metrics.
Keywords
cloud computing; SaaS performance; cloud computing; cloud technology; computing infrastructure; computing resources; formal graphic models; performance evaluation; scalability evaluation; software as a service; IEEE Computer Society; Reliability; Throughput; SaaS performance evaluation and scalability measurement; cloud performance evaluation; cloud scalability measurement; scalability modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Oriented System Engineering (SOSE), 2011 IEEE 6th International Symposium on
Conference_Location
Irvine, CA
Print_ISBN
978-1-4673-0411-5
Electronic_ISBN
978-1-4673-0410-8
Type
conf
DOI
10.1109/SOSE.2011.6139093
Filename
6139093
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