| 标题 |
 Low-Latency Scheduling Approach for Dependent Tasks in MEC-Enabled 5G Vehicular Networks 基于MEC的5G车载网络中依赖任务的低延迟调度方法
相关领域
计算机科学
调度（生产过程）
分布式计算
相互依存
边缘计算
计算机网络
GSM演进的增强数据速率
人工智能
运营管理
政治学
法学
经济
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| 网址 | |
| DOI | |
| 其它 | With the development of the Internet of Vehicles (IoV), multiaccess edge computing (MEC) technology places computing resources closer to users at edge nodes, enabling faster, more reliable, and secure computing services. In the MEC-enabled IoV networks, task offloading scheduling, as an effective method to alleviate the computational burden on vehicles, is gaining increasing attention. However, with the intelligent and networked development of vehicles, the complex data dependency between in-vehicle tasks brings challenges to offloading scheduling. In contrast to many existing methods that solely address individual tasks, there is a growing need to tackle interrelated tasks within the IoV framework. This includes tasks like processing vehicle sensor data, gathering and analyzing road condition information, facilitating collaborative decision making among vehicles, and optimizing traffic signal systems. |
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