计算机科学
调度(生产过程)
分布式计算
处理器调度
软件工程
操作系统
地铁列车时刻表
工程类
运营管理
作者
Bo Wang,Zihui Luo,Xiaolong Zheng,Liang Liu,Huadóng Ma
标识
DOI:10.1109/msn60784.2023.00025
摘要
In the Industrial Internet of Things (IIoT) environment, time-sensitive tasks require efficient utilization of computing and network resources to ensure timely completion and fast processing. However, using existing scheduling schemes based on software-defined network (SDN), time-sensitive network (TSN), or information technology (IT) can lead to problems such as resource inefficiency, transmission delays, and task timeouts. To overcome these challenges, this paper proposes a collaborative scheduling method that combines SDN for global resource management and TSN for precise resource allocation. Additionally, a control plane algorithm is introduced to adapt task resources. This approach effectively schedules global computing and network resources, enabling timely and efficient task processing. Extensive experiments demonstrate the superiority of this method in terms of task completion rate and processing time compared to other baselines in various network environments.
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