自动化学报2024，Vol.50Issue(6)：1086-1103,18.DOI:10.16383/j.aas.c230196
面向算力网络的智慧调度综述
Survey on Wise Scheduling in Computing Power Network
摘要
Abstract
Distributed heterogeneous computing resources are connected through the network to form a computing power network(CPN),in which"connection"and"computing"are the cores.There are several great challenges in-cluding the huge feasible solution space resulted from widely distributed heterogeneity,the variable feasible solu-tion space caused by strong uncertainty,a large number of feasible solution islands resulted from highly con-strained complexity,and the difficulty in optimizing multiple conflicting objectives.For these challenges,a multi-level computing power network framework is proposed in this paper,which contains three functions:Parameterized structural process management,three-phase(planning,scheduling,execution)closed-loop scheduling model,and multi-modal resource management.A computing power network intelligent scheduling framework with"algorithm+knowledge+data+computing power"is proposed to wisely schedule complex tasks to CPN resources effectively,efficiently and robustly.The feasible solution space is formally analyzed.The key parameters of scheduling strategy are introduced.The intrinsic relationship between effectiveness and efficiency of scheduling algorithms are qualitat-ively analyzed.Different types of scheduling algorithms are surveyed thoroughly.The state-of-the-art and future work are illustrated.The surveys on CPN scheduling algorithms are compared,followed by the theoretical and tech-nical problems and tendency in CPN scheduling algorithms.关键词
算力网络/云计算/边缘计算/资源调度/知识Key words
Computing power network(CPN)/cloud computing/edge computing/resource scheduling/knowledge引用本文复制引用
李逸博,李小平,王爽,蒋嶷川..面向算力网络的智慧调度综述[J].自动化学报,2024,50(6):1086-1103,18.基金项目
国家重点研发计划(2022YFB3305500),国家自然科学基金(62273089)资助 Supported by National Key Research and Development Pro-gram of China(2022YFB3305500)and National Natural Science Foundation of China(62273089) （2022YFB3305500）
