基于合约设计的移动边缘计算任务卸载策略研究

移动边缘计算将边缘服务器部署到无线局域网侧,将部分计算密集任务卸载到边缘云服务器,从而缩短计算服务与移动设备的距离,降低数据传输成本.考虑移动边缘计算(MEC)环境下的计算任务分配问题,通过探索用户体验敏感度的异质性,建立CPU运算周期数-数据量-价格的三元组合约模型,提出基于合约理论的计算任务分配策略,以最大化云服务商的利润为目标,同时保证移动用户的非负效益.分别讨论完整信息场景下和统计信息场景下的最优合约设计策略.仿真结果验证了所提出方案可以有效实现计算任务的卸载.

Contract theory based task offloading strategy of mobile edge computing

Mobile edge computing(MEC) deploys edge servers to the side of wireless LAN and offloads some computing-intensive tasks to edge cloud servers, which can shorten the distance between computing services and mobile devices and reduce the cost of data transmission.This paper considers the problem of computing task offloading in the mobile edge computing environment. By exploring the heterogeneity of user experience sensitivity, a ternary combination model of the number of CPU cycles, data size and price is established, and a computing task allocation strategy based on contract theory is established to maximize the profit of cloud service providers and ensure the non-negative benefit of mobile users. The optimal contract design strategies for complete information scenarios and statistical information scenarios are discussed, respectively. Simulation results show that the proposed schemes can effectively realize the offloading of computing tasks.