| 标题 |
 Task Offloading in Edge Computing Using GNNs and DQN 基于GNNs和DQN的边缘计算任务卸载
相关领域
计算机科学
任务（项目管理）
GSM演进的增强数据速率
边缘计算
人工智能
管理
经济
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| 其它 | In a network environment composed of different types of computing centers that can be divided into different layers (clod, edge layer, and others), the interconnection between them offers the possibility of peer-to-peer task offloading. For many resource-constrained devices, the computation of many types of tasks is not feasible because they cannot support such computations as they do not have enough available memory and processing capacity. In this scenario, it is worth considering transferring these tasks to resource-rich platforms, such as Edge Data Centers or remote cloud servers. For different reasons, it is more exciting and appropriate to download various tasks to specific download destinations depending on the properties and state of the environment and the nature of the functions. At the same time, establishing an optimal offloading policy, which ensures that all tasks |
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