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.
F. Liu—The research was supported by a grant from The National Natural Science Foundation of China (NSFC) under grant No. 61520106005.
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References
State of the cloud report. Report, 2015 RightScale Inc, February 2015
Engine, G.C. https://cloud.google.com/compute/pricing
Cloud, R.H. http://www.rightscale.com/solutions/problems-we-solve/hybrid-cloud
Shaw, S., Singh, A.: A survey on scheduling and load balancing techniques in cloud computing environment. In: 2014 International Conference on Computer and Communication Technology (ICCCT), pp. 87–95, September 2014
Li, A., Yang, X., Kandula, S., Zhang, M., Cloudcmp: Comparing public cloud providers. In: Proceedings of IMC 2010, November 2010
OpenStack. http://www.openstack.org/
Scaling, A. http://aws.amazon.com/autoscaling/
Zhang, H., Jiang, G., Yoshihira, K., Chen, H.: Proactive workload management in hybrid cloud computing. IEEE Trans. Netw. Serv. Manage. 11(1), 90–100 (2014)
Yi, X., Liu, F., Liu, J., Jin, H.: Building a network highway for big data: architecture and challenges. Network IEEE 28(4), 5–13 (2014)
Xu, F., Liu, F., Jin, H., Vasilakos, A.V.: Managing performance overhead of virtual machines in cloud computing: a survey, state of the art, and future directions. Proc. IEEE 102(1), 11–31 (2014)
Niu, Y., Luo, B., Liu, F., Liu, J., Li, B., When hybrid cloud meets flash crowd: towards cost-effective service provisioning. In: Proceedings of IEEE INFOCOM, April 2015
ManageIQ Open Source Project. http://manageiq.org/
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© 2016 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Luo, B., Niu, Y., Liu, F. (2016). Cost-Effective Service Provisioning for Hybrid Cloud Applications. In: Guo, S., Liao, X., Liu, F., Zhu, Y. (eds) Collaborative Computing: Networking, Applications, and Worksharing. CollaborateCom 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 163. Springer, Cham. https://doi.org/10.1007/978-3-319-28910-6_5
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DOI: https://doi.org/10.1007/978-3-319-28910-6_5
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