Affiliations: [a] Department of Computer Science, Wuhan University of Technology, Wuhan 430063, P.R.China and State Key Laboratory of Software Engineering, Wuhan University, chunlin74@aliyun.com | [b] Department of Computer Science, Wuhan University of Technology, Wuhan 430063, P.R.China. jwtu@public.wh.hb.cn
Note: [*] Address for correspondence: Department of Computer Science, Wuhan University of Technology, Wuhan 430063, P.R. China.
Abstract: In the paper, we consider the hybrid cloud model used for cloud bursting, when the computational capacity of the private cloud provider is insufficient to deal with the peak number of customers’ applications, the private cloud will rely on the resources leased from public cloud providers for the execution of private cloud applications. The paper proposes the model and algorithm of hybrid cloud scheduling optimization for cloud bursting. Public cloud providers and private cloud users communicate by the hybrid cloud marketplace. The hybrid cloud scheduling optimization is conducted at different levels. According to the model formulation and mathematic solutions of hybrid cloud scheduling, hybrid cloud scheduling algorithms for cloud bursting are proposed, which includes the routines of public cloud optimization, private cloud application optimization and private cloud job optimization. In the simulations, compared with other related algorithm, our proposed hybrid cloud scheduling algorithms achieve the better performance.
