异构网络中任务卸载与资源分配联合优化算法

在有限的网络边缘资源约束下,考虑到业务的多样性和网络接入的异构性对任务卸载和计算资源分配的影响,在本地和服务器共同处理任务的背景下,提出了一种异构网络场景下结合李雅普诺夫优化理论和搜索树算法对任务卸载和计算资源分配的联合优化方法,分析了卸载收益与延迟之间的折中关系,优化了任务卸载与计算资源分配。同时,为了对搜索树进行快速分支定界,设计了一种卸载优先级准则。最后,通过仿真实验验证了所提算法的有效性和合理性。

Joint Optimization Algorithm for Task Offloading and Resource Allocation in Heterogeneous Networks

Under the constraint of limited network edge resources, considering the impact of service diversity and network access heterogeneity on task offloading and computational resource allocation, a joint optimization algorithm for task offloading and computing power resources allocation under heterogeneous network is proposed to jointly handle local and server tasks. The proposed algorithm makes a trade-off between system revenue and task offloading delay by invoking Lyapunov theory and search tree algorithm. Furthermore, to quickly branch and bound the search tree, the offloading priority criterion is designed. Finally, the simulation results verify the effectiveness and rationality of the proposed algorithm.