论文标题
移动边缘计算系统的选择和任务卸载
Base Station Selection and Task Offloading of the Mobile Edge Computing System
论文作者
论文摘要
基于两个决策变量，服务位置和基站选择，构建一个在每个时间范围内移动边缘计算系统的切换延迟，通信延迟和排队延迟模式的计算模型；最小化非开关延迟，以在初始时间范围内获得服务部署和基站选择决策；根据上一个时间范围的决策计算当前时间范围的开关延迟和非开关潜伏期，并根据较大的非转换延迟公差的原理确定当前时间范围。如果服务没有重新分配，则当前时间插槽的决定与上一个时间插槽的决定相同；如果将服务重新分配，则将当前时间插槽的非接触时间最小化，并获得当前时间段的服务分配和基站选择决定；迭代计算了所有时间段的服务分配和基站选择决策。本文为用户提供了低延迟的处理和服务质量，以满足用户移动的随机性。
Based on the two decision variables, service location and base station selection, construct a computational model of the switching delay, communication delay, and queuing delay patterns of a mobile edge computing system in each time horizon; minimize the non-switching latency to obtain the service deployment and base station selection decision at the initial time horizon; compute the switching latency and non-switching latency of the current time horizon based on the decision of the previous time horizon, and determine the current time horizon based on the principle of larger non-switching latency tolerance. If the service is not reallocated, the decision for the current time slot remains the same as the decision for the previous time slot; if the service is reallocated, the non-reach time of the current time slot is minimized and the service allocation and base station selection decision for the current time slot is obtained; the service allocation and base station selection decisions for all time slots are iteratively computed. This paper provides low-latency processing and quality of service for users to satisfy the randomness of user movement.
