算力资源调度优化技术综述OA

With the rapid advancement of cloud computing,edge computing,artificial intelligence,and high-performance comput-ing,computational resource scheduling has become a key enabler for improving resource utilization while reducing latency and energy consumption.The growing complexity of heterogeneous resources,dynamic workloads,and multi-objective trade-offs poses increasing challenges to scheduling strategies.Intelligent scheduling approaches are progressively replacing traditional algorithms,and platforms such as Kubernetes and Mesos have facilitated practical deployment,though issues of real-time performance and scalability persist.This paper provides a comprehensive survey of the theoretical foundations,core technologies,and representative applications of computational scheduling,with a focus on recent developments across cloud-edge-high-performance computing paradigms.Trends in intelligent,col-laborative,and energy-efficient scheduling are discussed to inform future research and practice.