Balanced scheduling method of network information resources for cloud storage

In the current balanced scheduling process of network communication shared resources, there are some problems, such as long time to complete the resource scheduling, high cost consumption and so on. A balanced scheduling method of cloud storage network information resources is proposed. By constructing the storage model of network communication shared resources, the network communication structure under big data is layered. Feature parameters are extracted and orthogonal weighted constraint balance ratio is introduced to obtain the fitness function of network communication shared resources. Fitness function and convergence factor are used to solve this problem. At the same time, according to the crossover factor and mutation factor, the efficiency of local resource search is improved, and the global optimal search is obtained, so as to complete the balanced scheduling of resources. The experimental results show that this method has shorter completion time and lower cost, and meets the research requirements.