Research On Storage Resource Management Strategy For IoT Terminal Equipment Group

With the increasing growth of the fifth-generation(5G)wireless communication network and the Internet of Things(Io T),Io T terminal devices are widely used in situations such as smart communities,smart industries,and smart farms.In the above scenarios,some terminal devices have underutilized storage resources.Without an effective management strategy,it is difficult to utilize these storage resources efficiently,which leads to the problem of low utilization of storage resources.Although these strategies for storage resource management at present have complete functions and excellent performance,they have complex structures and are difficult to transplant to terminal devices with limited resources.Therefore,analyzing the storage resources of Io T terminal device groups and their application scenarios,focusing on storage management strategy and node management strategy,the storage resource management strategy for Io T terminal device groups is proposed.The main research contents of this thesis are as follows:1.Analyzing the problems faced by Io T terminal device group storage resource management and the application scenarios of Io T terminal device group,the general scheme of Io T terminal device group storage resource management strategy is proposed.2.A storage management strategy based on file dynamic partitioning and load balancing is offered to better utilize managed storage resources with large differences and small capacities.In the strategy,device storage load balancing is considered to dynamically allocate the available storage capacity of the device.Then,the files are dynamically chunked according to the allocated device storage capacity.Finally,the chunked files are stored at the corresponding devices.The results of simulations suggest that this strategy may effectively use storage resources with big differences and smaller capacity.3.To improve the adaptability of the storage resource management strategy in scenarios with large differences in storage and computing resources of node devices,a node management strategy based on the comprehensive performance of nodes and grouping mechanism is proposed.In the strategy,the comprehensive performance of the node is calculated by the objective weighting method using the main frequency of the central processing unit(CPU),CPU utilization,the amount of memory remaining,and the amount of disk remaining.All nodes are divided into three groups according to their comprehensive performance,and the functions of these nodes are adjusted according to their grouping level.The simulation results show that this strategy can effectively improve the adaptability of the storage resource management strategy to scenarios with large differences in storage resources.According to the characteristics of the storage resources of the Io T terminal device group,the storage resource management strategy of the Io T terminal device group is studied in-depth,and the physical test platform is built for comprehensive testing.The test results suggest that the storage resource management strategy described in this thesis can effectively manage the storage resources of the Io T terminal device group,enhance device storage resource usage,and improve device storage load balance.