Balanced Scheduling Method of Network Information Resources for Cloud Storage

Abstract

In the network communication environment, the balanced scheduling of network information sharing resources can better improve the service quality of network communication. In the current network communication sharing resource balanced scheduling process, there are some problems, such as the completion time of resource scheduling is too long, the cost consumption is large, and so on. This paper proposes a balanced scheduling method of network information resources for cloud storage. By constructing the storage model of network communication shared resources, the network communication structure under big data is layered. Through the characteristic analysis of shared resource, equilibrium ratio is introduced to obtain the fitness function of network communication shared resources. The fitness function and convergence factor are used to solve the problem. The experimental results show that the network information resource balanced scheduling method for cloud storage needs shorter completion time and lower cost, which fully meets the research requirements.