Collaborative Computing: Networking, Applications, and Worksharing. 11th International Conference, CollaborateCom 2015, Wuhan, November 10-11, 2015, China. Proceedings

Research Article

Cost-Effective Service Provisioning for Hybrid Cloud Applications

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  • @INPROCEEDINGS{10.1007/978-3-319-28910-6_5,
        author={Bin Luo and Yipei Niu and Fangming Liu},
        title={Cost-Effective Service Provisioning for Hybrid Cloud Applications},
        proceedings={Collaborative Computing: Networking, Applications, and Worksharing. 11th International Conference, CollaborateCom 2015, Wuhan, November 10-11, 2015, China. Proceedings},
        proceedings_a={COLLABORATECOM},
        year={2016},
        month={2},
        keywords={Hybrid cloud Multi-cloud Cost-effective},
        doi={10.1007/978-3-319-28910-6_5}
    }
    
  • Bin Luo
    Yipei Niu
    Fangming Liu
    Year: 2016
    Cost-Effective Service Provisioning for Hybrid Cloud Applications
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-319-28910-6_5
Bin Luo1, Yipei Niu1, Fangming Liu1,*
  • 1: Huazhong University of Science and Technology
*Contact email: fmliu@hust.edu.cn

Abstract

A hybrid cloud, which combines a private cloud and a public cloud, has become more and more popular. For most corporations, they leverage one public cloud. However, with fierce competition among public cloud providers, public cloud services change frequently, which may lead to service unavailability and a less cost-effective hybrid cloud solution. As a result, leveraging multiple public clouds in the hybrid cloud is a potential solution. In this paper, we identify such a problem in current hybrid cloud and analyze the necessity of load balancing for hybrid cloud applications. Focusing on cost minimization and performance guarantee, we propose a Least Cost per Connection (LCC) algorithm so as to choose the most cost-effective clouds along with adapting changes among multiple public clouds. The simulation results show that our solution can significantly decrease the outsourcing cost as well as guarantee QoS of applications.