| 标题 |
 Delay Minimization in Hybrid Edge Computing Networks: A DDQN-Based Task Offloading Approach 混合边缘计算网络中的时延最小化：一种基于DDQN的任务卸载方法
相关领域
缩小
计算机科学
任务（项目管理）
边缘计算
移动边缘计算
GSM演进的增强数据速率
计算机网络
分布式计算
服务器
工程类
人工智能
系统工程
程序设计语言
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| DOI |
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| 其它 | In this paper, we investigate the task offloading strategy in a hybrid edge computing networks, where the tasks from end devices can be either executed locally, offloaded to the edge server or forwarded to other friendly devices for processing. In addition, these tasks in system are also assumed to be generated stochastically and with different priorities. With respect to the model, we consider minimizing the total task delay of the system while ensuring that the high priority tasks been completed precedently. To do so, an optimization problem is formulated to determine the task offloading strategy for each task. A deep reinforcement learning approach is designed to solve the problem |
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