Smart Task Offloading and Resource Allocation in Mobile Edge ComputingXXX (Ref:4659)

移动边缘计算（MEC）将计算和存储资源放置在用户附近的边缘节点上，提供快速、低延迟、高带宽的服务。该博士项目旨在通过优化MEC中的任务卸载和资源分配来提高MEC系统的性能和效率，并提高服务质量。首先，对现有的解决这一问题的相关模型和方法进行研究和分析。其次，构建了MEC系统低时延、低能耗的多目标优化模型。第三，提出了一种基于任务卸载和资源分配过程的智能调度方法来解决多目标优化模型。将进行仿真实验和基准测试来研究所提出方法的性能。

Mobile edge computing (MEC) places computing and storage resources at the edge nodes near users to provide fast, low-latency, and high-bandwidth services. This PhD project aims to improve the performance and efficiency of MEC systems and enhance the quality of service by optimising task offloading and resource allocation in MEC. Firstly, the existing relevant models and approaches for addressing this problem will be studied and analysed. Secondly, a multi-objective optimisation model including the objectives of low-latency and low-energy-consumption for MEC systems will be constructed. Thirdly, a smart scheduling approach based on the task offloading and resource allocation processes will be developed to solve the multi-objective optimisation model. Simulation experiments and benchmark testing will be conducted to investigate the performance of the proposed methods.