SaaS performance and scalability evaluation in clouds

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

doi:10.1109/SOSE.2011.6139093

SaaS performance and scalability evaluation in clouds

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

Computing and Augmented Intelligence, School of (IAFSE-SCAI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

72 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 language	English (US)
Title of host publication	Proceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011
Pages	61-71
Number of pages	11
DOIs	https://doi.org/10.1109/SOSE.2011.6139093
State	Published - 2011
Event	6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011 - Irvine, CA, United States Duration: Dec 12 2011 → Dec 14 2011

Publication series

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

Other

Other	6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011
Country/Territory	United States
City	Irvine, CA
Period	12/12/11 → 12/14/11

Keywords

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

ASJC Scopus subject areas

Computer Science Applications

Access to Document

10.1109/SOSE.2011.6139093

Cite this

Gao, J., Pattabhiraman, P., Bai, X., & Tsai, W. T. (2011). SaaS performance and scalability evaluation in clouds. In Proceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011 (pp. 61-71). Article 6139093 (Proceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011). https://doi.org/10.1109/SOSE.2011.6139093

SaaS performance and scalability evaluation in clouds. / Gao, Jerry; Pattabhiraman, Pushkala; Bai, Xiaoying et al.
Proceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011. 2011. p. 61-71 6139093 (Proceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gao, J, Pattabhiraman, P, Bai, X & Tsai, WT 2011, SaaS performance and scalability evaluation in clouds. in Proceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011., 6139093, Proceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011, pp. 61-71, 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011, Irvine, CA, United States, 12/12/11. https://doi.org/10.1109/SOSE.2011.6139093

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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.",

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AB - 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.

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SaaS performance and scalability evaluation in clouds

Abstract

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Other

Keywords

ASJC Scopus subject areas

Access to Document

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