Edge-cloud Collaborative Computation Offloading Method Based on DDPG
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.
国家科技期刊平台
NSTL
万方数据
维普
