Research And Implementation Of Resource Scheduling Algorithm Based On Hybrid Mobile P2P Architecture

With the rapid development of mobile Internet technology,users can easily obtain needed resources from the network,especially the gradual maturity of multimedia field,which makes users highly dependent on file sharing.This dependence puts forward higher requirements for resource sharing technology,and mobile P2P technology becomes an effective way to highly utilize file resources,and mobile terminals can provide physical support for them by using their own idle bandwidth and storage space.Nodes in the mobile network are often not in the same position,they will quit or join the network more frequently and then change the topology structure,which is more unstable and dynamic.Frequent node departure and changing user interests lead to the imbalance of file supply and demand.The variability of network topology in mobile P2P leads to frequent interruptions in the resource transmission process and low efficiency of network resource utilization.Therefore,faced with the current situation that people rely more and more on mobile terminals for file transmission,mobile P2P must solve the problem of resource supply and demand imbalance caused by node loss in order to provide users with high-speed and accurate file query service when the mobile terminals are in a highly dynamic state.In this paper,the imbalance between supply and demand of P2P resources in mobile environment is studied,and a resource scheduling method based on hybrid layered mobile P2P architecture is proposed.Different from the traditional query and request-driven negative mode resource scheduling method,this method firstly utilizes the RS coding design file redundancy backup method to improve the redundancy of hot files.On this basis,considering the popularity and redundancy of files comprehensively,an adaptive active push file strategy is proposed to maintain the balance between supply and demand of files.The one-way feedback path and search signaling optimization design are used to improve the speed of resource transmission and reduce the consumption of network traffic caused by flood search.In order to verify the method proposed in this paper,a small-scale hybrid layered mobile P2P platform supporting 4G,educational network and WiFi is built,and a large-scale node simulation platform is combined to verify the effectiveness of the method proposed in this paper.Experimental results show that this algorithm can better adapt to the instability of mobile environment,significantly improve the success rate of resource search in hybrid layered mobile P2P architecture,and meet the user's demand for resources.