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 | |
| State | Published - 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 |
Other
| Other | 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011 |
|---|---|
| Country | United States |
| City | Irvine, CA |
| Period | 12/12/11 → 12/14/11 |
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Keywords
- Cloud computing
- Prediction
- Service
- software-as-a-service (SaaS)
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Science Applications
Cite this
Services utility prediction on a cloud. / Tsai, Wei Tek; Zhong, Peide; Balasooriya, Janaka; Chen, Yinong; Bai, Xiaoying.
Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011. 2011. 6166247.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Services utility prediction on a cloud
AU - Tsai, Wei Tek
AU - Zhong, Peide
AU - Balasooriya, Janaka
AU - Chen, Yinong
AU - Bai, Xiaoying
PY - 2011
Y1 - 2011
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)
UR - http://www.scopus.com/inward/record.url?scp=84859963652&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859963652&partnerID=8YFLogxK
U2 - 10.1109/SOCA.2011.6166247
DO - 10.1109/SOCA.2011.6166247
M3 - Conference contribution
AN - SCOPUS:84859963652
SN - 9781467303194
BT - Proceedings - 2011 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2011
ER -