Research on Cross-computing Engine Data Scheduling Technology for Data Production
With the increasing complexity of data processing tasks,traditional data computation engines face challenges in storage management and computational resource scheduling.This paper provides an in-depth discussion on how to improve the performance and reduce the complexity of cross-computing engine data resource scheduling.Focusing on data production tasks,the research focuses on storage and schedu-ling optimization techniques for data resources across computing engines by combining practical applica-tion scenarios,and proposes technical solutions such as super-scheduler design,multi-dimensional fine-grained resource allocation,and task priority-based resource scheduling.It realizes the efficient collabo-ration of different computing tasks among multiple computing engines,thus maximizing the utilization rate and processing speed of computing resources,and provides an effective technical solution for solving the resource scheduling problem in large-scale data production.
data schedulingcross-computing enginedata productiontask scheduler
万方数据
维普
