跨域异构资源的调度方法及装置

By constructing a heuristic resource scheduling strategy based on a task directed graph and a node topology graph, the inefficiency problem in cross-domain heterogeneous resource management is solved, and the efficient execution of CAE simulation tasks and the improvement of resource utilization are achieved.

CN117290102BActive Publication Date: 2026-07-17INST OF SOFTWARE - CHINESE ACAD OF SCI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INST OF SOFTWARE - CHINESE ACAD OF SCI
Filing Date
2023-09-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing resource scheduling methods cannot effectively manage and allocate heterogeneous resources across domains, resulting in low efficiency of CAE simulation tasks in computationally intensive and large-scale tasks, and an inability to adapt to complex dependencies and latency issues in cross-regional data transmission.

Method used

A heuristic resource scheduling strategy is adopted. By constructing a task directed graph and a node topology graph, computing node information is obtained in real time, resource allocation and task scheduling are optimized, and efficient management of cross-domain heterogeneous resources is achieved.

Benefits of technology

It improves resource utilization, reduces computation time, optimizes task execution efficiency, supports flexible scheduling of heterogeneous resources, reduces network transmission burden, and adapts to dynamic resource environments.

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Abstract

本发明公开了一种跨域异构资源的调度方法及装置,所述方法包括:构建目标任务的任务有向图;初始化一任务节点池;获取任务节点P0,在跨域异构计算资源调度集群中选定执行任务节点P0的计算节点Q0后,对计算节点Q0的节点指标进行更新,并将计算节点Q0加入任务节点池;针对执行任务节点Pj的计算节点Qi,基于任务节点池构建一节点拓扑图;结合计算节点Qi的节点拓扑图,选定执行任务节点Pj+1的计算节点Qi+1后,对该计算节点Qi+1的节点指标进行更新,并将该计算节点Qi+1加入任务节点池。本发明实现了更快的仿真速度,更高的资源利用率,以及更优化的工作负载分布。
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