SaaS performance and scalability evaluation in clouds

Jerry Gao, Pushkala Pattabhiraman, Xiaoying Bai, W. T. Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

56 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011
Pages61-71
Number of pages11
DOIs
StatePublished - Dec 1 2011
Event6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011 - Irvine, CA, United States
Duration: Dec 12 2011Dec 14 2011

Publication series

NameProceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011

Other

Other6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011
CountryUnited States
CityIrvine, CA
Period12/12/1112/14/11

Keywords

  • SaaS performance evaluation and scalability measurement
  • cloud performance evaluation
  • cloud scalability measurement
  • scalability modeling

ASJC Scopus subject areas

  • Computer Science Applications

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