Mobile cloud computing resource optimal allocation method

Abstract

The invention provides a mobile cloud computing resource optimal allocation method which comprises the following steps of: establishing a transfer implementation method between different service domains of cloud computing as a cloud computing resource allocation model of a mobile cloud computing system; analyzing the system long-term income of a mobile cloud computing service domain while considering the condition of transferring the cloud computing service between different cloud computing service domains by taking a mobile terminal and a mobile cloud computing service domain as a whole so as to obtain the best cloud computing resource allocation scheme between different mobile cloud computing service domains; and finally deciding to receive, transfer or reject a service request of the mobile terminal in the local cloud computing service domain. The method provided by the invention increases the system income of a cloud computing network and the customer satisfaction (or user QoE (quality of experience)) of a mobile cloud computing user on the basis of considering the benefits of the cloud computing service domain as well as the benefits of the mobile cloud computing user.

Description

technical field [0001] The invention belongs to the technical field of cloud computing, and relates to a method for optimizing resources of mobile cloud computing, in particular to a method for uniformly optimizing resource configuration between different service domains based on geographic locations in mobile cloud computing. Background technique [0002] Mobile cloud computing network has now become a service model that allows mobile terminals to make full use of cloud computing network resources, and does not require additional complex hardware and software for mobile terminals (B. Chun and P. Maniatis, "Augmented Smartphone Applications Through Clone Cloud Execution," in Proceedings of USENIX HotOS XII, 2009.), (D. Huang, X. Zhang, M. Kang, and J. Luo, "Mobicloud: Building secure cloud framework for mobile computing and communication," in 2010 Fifth IEEE International Symposium on Service Oriented System Engineering. IEEE, 2010, pp.27-34.), (E. Cuervo, A. Balasubramanian...

AI Technical Summary

Problems solved by technology

At present, most of these domestic patents on cloud computing resource configuration only consider the high availability of cloud computing resources (CPU, memory, hard disk, and network communication equipment, etc.) When transferring to other neighboring domains, the existing cloud computing resource allocation method lacks corresponding necessary considerations for the interests of the mobile cloud computing system and mobile cloud computing users, such as the quality of service (QoS) for cloud computing users, and the cloud computing from the local The cost of domain transfer to other neighboring domains for computing, the revenue of providing mobile cloud computing services for mobile cloud computing users, and the perception and experience of mobile cloud computing users have not been considered in the existing cloud computing resource allocation methods.

Images