支持混合业务的异构算力调度平台设计与实现OA

With the rapid increase of large-scale computing requirements in each field,the complexity of resource scheduling is greatly increased due to resource scale expansion and architecture heterogeneity.To address this challenge,this document de-signs and implements a heterogeneous computing power scheduling platform(HCSP)that supports mixed service execution.Through a unified service model and resource scheduling framework,this platform achieves collaborative scheduling of diversi-fied resources,effectively improving resource utilization and scheduling efficiency.The DAG unified service model is designed to adapt to mixed service scenarios and ensure that resources are mixed in different service scenarios under the unified scheduling framework.Designs a unified scheduling framework,integrates multi-dimensional resource scheduling policies,optimizes het-erogeneous resource configurations,and provides the basis for resource scheduling algorithms.Hybrid services are introduced to HCSP to support high-concurrency scheduling in large-scale heterogeneous computing environments and improve resource usage efficiency.Empirical evidence shows that in large-scale heterogeneous computing-power clusters,HCSP significantly improves resource usage,and the average CPU usage is increased from 18%to 36%.Compared with Jenkins scheduling,HCSP greatly im-proves scheduling efficiency.This platform not only shows its practicality as an advanced scheduling platform,but also provides innovative solutions to the management problems of large-scale computing resources.