| 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
|
| 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. |
| 求助人 | |
| 下载 | 该求助完结已超 24 小时，文件已从服务器自动删除，无法下载。 |
|
温馨提示：该文献已被科研通 学术中心 收录，前往查看
科研通『学术中心』是文献索引库，收集文献的基本信息（如标题、摘要、期刊、作者、被引量等），不提供下载功能。如需下载文献全文，请通过文献求助获取。
|
干净的铅笔
嗯哼
带头大哥
AireenBeryl531
Cat
热心市民小红花
superxiao
夏来
InfoNinja
shinysparrow
从容芮
舟行碧波上
Leonardi
凤凰
wen
薰硝壤
欢喜的雁枫
吴彦祖
寻道图强
pluto
皖公网安备34019202002308
