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Mobile edge computing (MEC), as an emerging technique, brings computing resource near to the user end, and thus offers prompt and high-bandwidth service. In MEC, edge servers typically provide their limited computing resource to an appropriate set of users and expect to be rewarded for that, while users pay for the service. In this paper, We utilize the network economics to solve the problem of resource allocation in MEC to maximize system efficiency. We consider a multi-user and multi-server scenario with locality-awareness, i.e., an edge server can only serve multiple MDs in the vicinity, and propose a single-round double auction scheme based on breakeven in MEC (SDAB), which is proved to be individual rationality and truthful. The simulation results indicate that SDAB can significantly improve the system efficiency of MEC as compared with the existing works, while maintaining the economic property of …