Multi-Agent Scheduling System in Cloud Manufacturing Environment

被引：0
|
作者：
Bi, Xiaoxue [1 ,2 ]
Yu, Dong [1 ]
Liu, Jinsong [1 ,2 ]
Hu, Yi [3 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Comp Technol, Shenyang, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
[3] Shenyang CASNC Technol Co Ltd, Shenyang, Peoples R China
来源：
2020 10TH INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2020) | 2020年
关键词：
Cloud manufacturing; multi-agent; dynamic optimal scheduling; system framework; ALGORITHM; SELECTION; LIBRARY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the dynamic and distributed characteristics of cloud resources and the real-time requirements of cloud tasks in cloud manufacturing environment, a multi-agent framework for dynamic optimized scheduling system is designed in this paper. In addition, a responsive algorithm is proposed according to the real-time of the arriving jobs and the intelligence of the scheduling process. Finally, a small sample is analyzed to validate the proposed framework and the comparative experiments are made to test the flexibility and efficiency of the proposed responsive algorithm.
引用
收藏
页码：374 / 378
页数：5
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