Network dynamic resource calculating method and device

Abstract

The embodiment of the invention discloses a network dynamic resource calculating method and device. According to the scheme provided by the embodiment of the invention, firstly, a cloud service provider and a client with a resource supply and demand relationship are converted into a multi-master multi-slave two-stage Stackelberg game model; according to the multi-master multi-slave two-stage Stackelberg game model, a cloud utility function and a client utility function are built; according to the multi-master multi-slave two-stage Stackelberg game model, an optimum cloud bandwidth price strategy and an optimum client bandwidth allocation strategy are computed for allocating dynamic resources of a network to the client. In application of the method provided by the embodiment of the invention, the dynamic network resource demands of the client are computed; the network performance is maximized; the dynamic network resource demands of the client are satisfied; and the user experience rank is promoted.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a method and device for calculating network dynamic resources. Background technique [0002] With the development of mobile Internet and smart terminal technology, the applications of mobile smart terminals are also showing explosive growth. At this stage, the computing power of the mobile server is still unable to meet the requirements of the application program and the best user experience in the mobile smart terminal. Mobile Cloud Computing (MCC, Mobile Cloud Computing), that is, mobile smart terminals offload computational and energy-intensive tasks to the cloud computing center through the mobile Internet, and carry computing functions through the cloud computing center to meet the computing service needs of mobile smart terminals. Mobile cloud computing is proposed based on the concept of cloud computing. Mobile cloud computing is a mode of delivery and use...

AI Technical Summary

Problems solved by technology

[0004] In mobile cloud computing, current MCC-based QoE research mainly focuses on how to establish a QoE model, so QoE-based resource management is still an open issue. Bandwidth and instability, etc., make the problem of resource management more complex, requiring a finer-grained combination of cloud and client resources, and, in practical applications, the dynamic resources of mobile cloud computing networks are often multiple cloud service providers to many In the prior art, there is no effective method to calculate the network dynamic resource requirements of the client, and a better calculation method for network dynamic resources is urgently needed to maximize network performance and meet the network dynamic resource requirements of the client. , to enhance the user experience value

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