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In mobile edge computing, edge servers are geographically distributed aroundbase stations placed near end-users to provide highly accessible and efficientcomputing capacities and services. In the mobile edge computing environment, aservice provider can deploy its service on hired edge servers to reduceend-to-end service delays experienced by its end-users allocated to those edgeservers. An optimal deployment must maximize the number of allocated end-usersand minimize the number of hired edge servers while ensuring the requiredquality of service for end-users. In this paper, we model the edge userallocation (EUA) problem as a bin packing problem, and introduce a novel,optimal approach to solving the EUA problem based on the Lexicographic GoalProgramming technique. We have conducted three series of experiments toevaluate the proposed approach against two representative baseline approaches.Experimental results show that our approach significantly outperforms the othertwo approaches.

Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing