一种云化工控算力网络任务调度方法及系统
By setting task priorities in the cloud-based chemical control computing network, constructing multi-level priority queues, and introducing dynamic migration and eviction mechanisms, the problems of high task scheduling differentiation and resource competition in the cloud-based chemical control computing network are solved, achieving efficient and reliable task scheduling and resource guarantee.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING GUODIAN ZHISHEN CONTROL TONGDY
- Filing Date
- 2026-03-20
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional cloud-based industrial control computing power network scheduling mechanisms are ill-equipped to handle the highly differentiated business characteristics, risks brought about by environmental uncertainties, and the contradiction between resource security and execution efficiency in the industrial control field, especially in resource-constrained scenarios, where it is difficult to ensure resource support for ultra-high priority tasks and efficient processing of routine tasks.
By pre-setting task priorities, directly orchestrating ultra-high priority tasks and attaching monitoring daemons, a multi-level priority queue is constructed, and dynamic migration and task eviction mechanisms are adopted to ensure that high-priority tasks are guaranteed in resource competition.
It enables efficient, reliable, and differentiated scheduling of industrial control tasks in complex network environments, ensuring business continuity and resource support for ultra-high priority tasks and optimizing resource utilization efficiency.
Smart Images
Figure CN121880032B_ABST