大数据2025，Vol.11Issue(3)：1-16,16.DOI:10.11959/j.issn.2096-0271.2025037
面向广域分布式智能计算的运行时算力网络资源协同调度方法研究
Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment
摘要
Abstract
With the rapid development of new generation information and communication technologies such as artificial intelligence,the wide-area distributed intelligent computing environment has become an important infrastructure.In response to the challenge of efficient collaborative scheduling of resources in a wide-area distributed intelligent computing environment,a runtime collaborative scheduling of resources in computing power network method is proposed.The key task selection and backfilling,network traffic scheduling of core flow,and adaptive data placement strategies are designed.The usage of computing,network,and storage resources in the computing power network are comprehensively analyzed,and the strategies are collaboratively implemented to optimized the global utilization of resources.The experimental results indicate that the proposed method can effectively improve the system throughput while optimizing the global data migration cost compared with the existing methods.关键词
任务调度/网络资源调度/数据布局/协同调度Key words
task scheduling/network resource scheduling/data placement/collaborative scheduling分类
计算机与自动化引用本文复制引用
宋尧,宋平,高巍,刘述,霍志胜..面向广域分布式智能计算的运行时算力网络资源协同调度方法研究[J].大数据,2025,11(3):1-16,16.基金项目
国家重点研发计划项目(No.2024YFB2908701) The National Key Research and Development Program of China(No.2024YFB2908701) （No.2024YFB2908701）
