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Journal of Scheduling

, Volume 20, Issue 1, pp 103–113 | Cite as

Optimization-based resource allocation for software as a service application in cloud computing

  • Chunlin LiEmail author
  • Yun Chang Liu
  • Xin Yan
Article
  • 587 Downloads

Abstract

Software as a service (SaaS) is a software that is developed and hosted by the SaaS vendor. SaaS cloud provides software as services to the users through the internet. To provide good quality of service for the user, the SaaS relies on the resources leased from infrastructure as a service cloud providers. As the SaaS services rapidly expand their application scopes, it is important to optimize resource allocation in SaaS cloud. The paper presents optimization-based resource allocation approach for software as a service application in cloud. The paper uses optimization decomposition approach to solve cloud resource allocation for satisfying the cloud user’s needs and the profits of the cloud providers. The paper also proposes a SaaS cloud resource allocation algorithm. The experiments are designed to compare the performance of the proposed algorithm with other two related algorithms.

Keywords

Cloud computing Software as a service (SaaS) Resource allocation Quality of service (QoS) 

Notes

Acknowledgments

The authors thank the editors and the anonymous reviewers for their helpful comments and suggestions. The work was supported by the National Natural Science Foundation (NSF) under grants (Nos. 61472294, 61672397), Key Natural Science Foundation of Hubei Province (No. 2014CFA050), Open Project Program of Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education (No. 201602), Applied Basic Research Project of WuHan (No. 2015010101010021), Program for the High-end Talents of Hubei Province. Any opinions, findings, and conclusions are those of the authors and do not necessarily reflect the views of the above agencies.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of Computer ScienceWuhan University of TechnologyWuhanPeople’s Republic of China
  2. 2.Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of EducationNanjing University of Science and TechnologyNanjingPeople’s Republic of China

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