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基于微服务架构的云制造调度仿真系统设计与开发
引用本文:刘永奎,曾鸣,张霖,郭金维,原思阳,平垚垚.基于微服务架构的云制造调度仿真系统设计与开发[J].系统仿真学报,2022,34(4):700-711.
作者姓名:刘永奎  曾鸣  张霖  郭金维  原思阳  平垚垚
作者单位:1.西安电子科技大学 机电工程学院, 陕西 西安 7100712.工业云制造(四川)创新中心有限公司, 四川 成都 6100003.北京航空航天大学 自动化科学与电气工程学院, 北京 100191
基金项目:国家自然科学基金(61973243)
摘    要:针对当前缺乏低耦合和高扩展的云制造调度仿真系统,无法方便地对调度算法性能进行测试的问题,以成本和完工时间最小化以及服务质量最大化为调度目标,提出一个可扩展的云制造调度模型,并在此基础上设计和开发了一个基于微服务架构的云制造调度仿真系统,实现了系统管理、资源管理、任务管理和仿真管理等功能,具有灵活自治、稳定、可扩展等特征...

关 键 词:云制造  调度  仿真系统  微服务  设计与开发
收稿时间:2021-09-30

Design and Development of a Simulation System for Scheduling in Cloud Manufacturing Based on Microservice Architecture
Yongkui Liu,Ming Zeng,Lin Zhang,Jinwei Guo,Siyang Yuan,Yaoyao Ping.Design and Development of a Simulation System for Scheduling in Cloud Manufacturing Based on Microservice Architecture[J].Journal of System Simulation,2022,34(4):700-711.
Authors:Yongkui Liu  Ming Zeng  Lin Zhang  Jinwei Guo  Siyang Yuan  Yaoyao Ping
Institution:1.School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China2.Industrial Cloud Manufacturing (Sichuan) Innovation Center Co. Ltd, Chengdu 610000, China3.School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Abstract:In view of the lack of the low coupling and highly extensible cloud manufacturing scheduling simulation system, that leads to inconvenience of the performance test on scheduling algorithms, a scalable cloud manufacturing scheduling model with the scheduling goal of the minimization of cost and completion time and the maximization of quality of service is proposed. A micro-service architecture based cloud manufacturing scheduling simulation system is designed and developed, which realizes the functions of system management, resource management, task management and simulation management, and has the characteristics of flexible autonomy, stability and scalability. The simulation system facilitates the performance simulation, test and optimization of the scheduling algorithms, and provides a simulation platform for the performance test and parameter optimization of cloud manufacturing scheduling algorithms.
Keywords:cloud manufacturing  scheduling  simulation system  microservice  design and development  
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