移动边缘计算中资源分配优化方案  

Resource allocation optimization scheme in mobile edge computing

作　　者：冯昊东 葛海波 耿嘉骏 FENG Hao-dong;GE Hai-bo;GENG Jia-jun(School of Electronic Engineering,Xi’an University of Posts and Telecommunications,Xi’an 710121,China)

机构地区：[1]西安邮电大学电子工程学院,陕西西安710121

出　　处：《计算机工程与设计》2024年第10期3185-3192,共8页Computer Engineering and Design

基　　金：陕西省自然科学基金项目(2011JM8038);陕西省重点产业创新链(群)基金项目(S2019-YF-ZDCXL-0098)。

摘　　要：为更好降低移动边缘计算(mobile edge computing, MEC)的通信时延,提出一种适用于多服务器多用户的资源分配优化方案。在多服务器多用户的网络模型基础上,将数据传输量和传输能效作为优化目标,降低通信时延;由带宽资源和计算资源建立可提升传输量的吞吐量模型和传输能效的能效模型,通过两个模型将优化目标转化为非线性问题;将分配算法与能效优化算法进行融合,对收敛性高、适应性强的生物地理学优化分簇算法进行改进得到分配算法,通过分配算法得到初始方案,进行迭代优化,使带宽和计算能力等资源得到更加合理的分配,提升系统的吞吐量,将迭代后的方案经过能效优化算法得到最终的优化分配方案。通过仿真实验验证该模型的可行性和算法的有效性。To better reduce the communication delay of mobile edge computing(MEC),a resource allocation optimization scheme suitable for multi-server and multi-user was proposed.Based on the multi-server and multi-user network model,the data transmission volume and transmission energy efficiency were taken as optimization goals to reduce communication delay.The throughput model and the energy efficiency model of transmission energy efficiency were established using bandwidth resources and computing resources,and the optimization objective was transformed into a nonlinear problem through two models.The allocation algorithm was integrated with the energy efficiency optimization algorithm,the biogeographical optimization clustering algorithm was improved with high convergence and strong adaptability to obtain the allocation algorithm,and the initial plan was obtained using the allocation algorithm.The initial plan was iteratively optimized to allocate resources such as bandwidth and computing power more reasonably and improve the throughput of the system,and the final optimized allocation plan was obtained using the energy efficiency optimization algorithm based on the initial one.Simulation experiments verify the feasibility of the model and the effectiveness of the algorithm.

关 键 词：移动边缘计算 资源分配 吞吐量 能效 通信时延 带宽 计算能力 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]