Services utility prediction on a cloud

Wei Tek Tsai; Peide Zhong; Janaka Balasooriya; Yinong Chen; Xiaoying Bai

doi:10.1109/SOCA.2011.6166247

Services utility prediction on a cloud

Wei Tek Tsai, Peide Zhong, Janaka Balasooriya, Yinong Chen, Xiaoying Bai

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

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

3 Scopus citations

Abstract

Cloud computing and Software-as-a-Service (SaaS) are being widely applied. In the near future, there will be many cloud services providing similar services. One of the issues is to dispatch service requests to available services dynamically so that service requests can be served in the most effective and efficient way. This paper proposes an algorithm that efficiently serves requests for services by predicting the number of services needed. Furthermore, a cloud architectural framework to support the algorithm and prediction model is introduced. The paper also presents a simulation study to validate the algorithm proposed.

Original language	English (US)
Title of host publication	Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011
DOIs	https://doi.org/10.1109/SOCA.2011.6166247
State	Published - Dec 1 2011
Event	2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011 - Irvine, CA, United States Duration: Dec 12 2011 → Dec 14 2011

Publication series

Name	Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011

Other

Other	2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011
Country/Territory	United States
City	Irvine, CA
Period	12/12/11 → 12/14/11

Keywords

Cloud computing
Prediction
Service
software-as-a-service (SaaS)

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications

Access to Document

10.1109/SOCA.2011.6166247

Cite this

Tsai, W. T., Zhong, P., Balasooriya, J., Chen, Y., & Bai, X. (2011). Services utility prediction on a cloud. In Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011 Article 6166247 (Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011). https://doi.org/10.1109/SOCA.2011.6166247

Services utility prediction on a cloud. / Tsai, Wei Tek; Zhong, Peide; Balasooriya, Janaka et al.
Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011. 2011. 6166247 (Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011).

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

Tsai, WT, Zhong, P, Balasooriya, J, Chen, Y & Bai, X 2011, Services utility prediction on a cloud. in Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011., 6166247, Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011, 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011, Irvine, CA, United States, 12/12/11. https://doi.org/10.1109/SOCA.2011.6166247

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title = "Services utility prediction on a cloud",

abstract = "Cloud computing and Software-as-a-Service (SaaS) are being widely applied. In the near future, there will be many cloud services providing similar services. One of the issues is to dispatch service requests to available services dynamically so that service requests can be served in the most effective and efficient way. This paper proposes an algorithm that efficiently serves requests for services by predicting the number of services needed. Furthermore, a cloud architectural framework to support the algorithm and prediction model is introduced. The paper also presents a simulation study to validate the algorithm proposed.",

keywords = "Cloud computing, Prediction, Service, software-as-a-service (SaaS)",

author = "Tsai, {Wei Tek} and Peide Zhong and Janaka Balasooriya and Yinong Chen and Xiaoying Bai",

year = "2011",

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AU - Tsai, Wei Tek

AU - Zhong, Peide

AU - Balasooriya, Janaka

AU - Chen, Yinong

AU - Bai, Xiaoying

PY - 2011/12/1

Y1 - 2011/12/1

N2 - Cloud computing and Software-as-a-Service (SaaS) are being widely applied. In the near future, there will be many cloud services providing similar services. One of the issues is to dispatch service requests to available services dynamically so that service requests can be served in the most effective and efficient way. This paper proposes an algorithm that efficiently serves requests for services by predicting the number of services needed. Furthermore, a cloud architectural framework to support the algorithm and prediction model is introduced. The paper also presents a simulation study to validate the algorithm proposed.

AB - Cloud computing and Software-as-a-Service (SaaS) are being widely applied. In the near future, there will be many cloud services providing similar services. One of the issues is to dispatch service requests to available services dynamically so that service requests can be served in the most effective and efficient way. This paper proposes an algorithm that efficiently serves requests for services by predicting the number of services needed. Furthermore, a cloud architectural framework to support the algorithm and prediction model is introduced. The paper also presents a simulation study to validate the algorithm proposed.

KW - Cloud computing

KW - Prediction

KW - Service

KW - software-as-a-service (SaaS)

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M3 - Conference contribution

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SN - 9781467303194

T3 - Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011

BT - Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011

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Y2 - 12 December 2011 through 14 December 2011

ER -

Services utility prediction on a cloud

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this