PF-MPPO: Task-dependent workflow scheduling method based on deep reinforcement learning in dynamic heterogeneous cloud environments
点击次数:
影响因子:7.6
DOI码:10.1016/j.future.2025.108236
所属单位:中国矿业大学
发表刊物:Future Generation Computer Systems(中科院一区Top期刊,CCF推荐期刊)
刊物所在地:美国
关键字:Cloud computing
Task scheduling
Dependent task
Deep reinforcement learning
Directed acyclic graph
备注:中科院一区Top期刊,CCF推荐期刊
论文类型:期刊论文
学科门类:工学
一级学科:计算机科学与技术
文献类型:J
字数:10000
是否译文:否
发表时间:2025-11-08
收录刊物:SCI
发布期刊链接:
https://www.sciencedirect.com/science/article/pii/S0167739X25005308?via%3Dihub