A Solution of Terminal Pooling Based on Contribution Emulated in Mobile Edge Computing
The traditional mobile edge computing is to migrate computing tasks from cloud computing to mobile edge.The computing task requests of end users can be intelligently selected in the cloud and edge processing,depending on the strong communication capability of the base station.In the scenario where the coverage of the base station is insufficient,external nodes cannot access the base station,or even the communication of the base station is missing,computing tasks cannot be processed through cloud computing and edge computing.Therefore,a contribution based incentive end pooling solution is proposed,in which the terminal provides its own available computing power and helps the base station complete task calculations through end pooling.For terminal management,a dynamic clustering algorithm based on computing power pool maximization is proposed.This algorithm utilizes different terminals as cluster heads for differential clustering,and obtains the clustering scheme when the comprehensive computing power pool is maximum.In response to the insufficient coverage of base stations,external nodes are connected to internal nodes through mobile ad hoc networks based on their historical contribution indicators.This incentive strategy can enhance the connection willingness of internal nodes,thereby improving the access rate of external nodes,expanding the coverage range of base stations,and solving the problem of weak base station coverage.The simulation results show that compared with other schemes,CETP can use the end pooling process to obtain the maximum computing power pool when cloud computing and edge computing cannot be implemented,and can complete computing tasks with the shortest de-lay.
mobile edge computingcomputation poolterminal poolingclusteringemulated
万方数据
维普
