EDGE SERVER DEPLOYMENT STRATEGY BASED ON IMPROVED ARTIFICIAL BEE COLONY ALGORITHM
As the first step in the deployment of mobile edge computing architecture,the deployment of edge servers is the foundation and key,and its deployment location is closely related to user experience and system performance,but there are currently few studies focusing on this problem.This paper studied the deployment of edge servers in the mobile edge computing environment in wireless metropolitan area networks.With the goal of minimizing response time,the edge server deployment problem was defined as an optimization problem,and a cross-global based artificial bee colony algorithm was proposed to solve the edge server deployment problem to reduce the average response time of the system.Sufficient experimental results show that the proposed algorithm can effectively reduce the average response time,and the algorithm performance is better than other representative deployment algorithms.
Mobile edge computingEdge serverArtificial bee colony algorithmComputing offloadingCombination optimization
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