青岛大学学报（自然科学版）2024，Vol.37Issue(1)：32-38,7.DOI:10.3969/j.issn.1006-1037.2024.01.06
基于DDPG的边云协同计算卸载方法
Edge-cloud Collaborative Computation Offloading Method Based on DDPG
摘要
Abstract
Mobile devices have limited cupacity,mobile devices and edge server computing were only con-sidered in the traditional offloading algorithms.Edge computing still faces problems of limited resources and high costs.Therefore,an edge-cloud collaborative computing offloading solution(DDPG-ECC)was proposed based on the Deep Deterministic Policy Gradient(DDPG)algorithm.It integrated cloud compu-ting,edge computing,and DDPG.The DDPG-ECC method strategically prioritized minimizing both laten-cy and energy consumption as optimization goals.By fostering collaboration between edge servers and cloud servers,it effectively reduced the latency and energy consumption of the computation offloading sys-tem,achieving an optimized allocation for computation offloading.Simulation results show that DDPG-ECC performs well and it is excellent adaptability and generalization capabilities for different workloads.关键词
边缘计算/边云协同/计算卸载Key words
edge computing/edge-cloud collaboration/computing offloading/DDPG-ECC分类
信息技术与安全科学引用本文复制引用
徐炜鹏,李英,李建波..基于DDPG的边云协同计算卸载方法[J].青岛大学学报（自然科学版）,2024,37(1):32-38,7.基金项目
国家自然科学基金(批准号:61802216)资助. （批准号:61802216）
