基于虚拟机的B/S协同系统的设计

摘要/Abstract

摘要： 功能强大且可靠性高的协同系统环境是支持企业高效率、高质量完成复杂产品协同开发的必要条件。据此，本文对传统的B/S结构进行改进，将服务器扩展为服务器群，并在服务器群中构建一虚拟机，通过虚拟机中设定的三个进程（主进程、备份进程和成员进程）来实现机群的创建、各服务器状态的迁移以及服务器群资源的调度和管理。最后，从虚拟机对服务器资源的整合过程进行数学上的描述，并在服务器的动态性能和任务重要度两个方面考虑，设计了负载均衡型调度法，始终将任务分配给能提供相应服务功能且负载最轻的服务器，从而实现资源的优化调度

关键词: 虚拟机, 服务器群, 状态迁移, 资源管理, 协同, 负载均衡

Abstract: Powerful functions and high reliability of collaborative system are essential for supporting enterprise to finish developing new complex products effectively and with high quality. Some improvements were made on the traditional B/S architecture. Servers were expanded to server clusters and a Virtual Machine (VM) was created in server clusters. Three processes including master process, backup process and member process were designed to implement creation of server clusters, migration of various servers status, and management & scheduling of server group sources. At last conformity process of servers sources conducted by VM was described by applying mathematic method. After considering the importance of tasks and dynamic performance of servers, load-balance scheduling method for server sources was put forward. Tasks were always allocated to one server, which could supply corresponding server ability and at the same time its load was the lightest. By doing so, optimized scheduling of the server sources has been achieved.

Key words: virtual machine, server cluster, status’s transform, resource management, collaboration

中图分类号:

TP31

倪晓宇，易红，倪中华，汤文成. 基于虚拟机的B/S协同系统的设计[J]. .

NI Xiao-yu，YI Hong， NI Zhong-hua， TANG Wen-cheng. M-based design of B/S collaborative system[J]. .

参考文献

[1］ FUJITA K. Product variety optimization under modular architecture［J］. Computer-Aided Design,2002,34(12):953-965.

[2] GONZALEZ-ZUGASTI J P, OTTO K N. Modular platform-based product family design［A］. Proceedings of 2000 ASME Design Engineering Technical Conference［C］.Baltimore,MD,USA:ASME Press,2000.DETC 2000/DAC-14238.

[3] OLIVIER L, SUH E. Product family and platform portfolio optimization［A］. Proceedings of 2003 ASME Design Engineering Technical Conference［C］.Chicago,IL,USA:ASME Press,2003.DAC-48721.

[4] DOBRESCU G, REICH Y. Progressive sharing of modules among product variants［J］. Computer-Aided Design,2003,35(9):791-806.

[5] MARTIN M, ISHII K. Design for variety:developing standardized and modularized product platform architectures［J］.Research in Engineering Design, 2002,13(4):213-235.

[6] SIMPSON T. Product platform design: method and application［J］. Research in Engineering Design, 2001,13(1):2-22.

[7] SIDDIQUE Z.Common platform development: design for variety［D］. USA：Georgia Institute of Technology,2000.129-176.

[8] GONZALEZ-ZUGASTI J, OTTO K, BARKER J. A method for architecting product platforms［J］. Research in Engineering Design, 2000,12(2):61-72.

[9] WANG Haijun, SUN Baoyuan, WEI Xiaopeng. Process analysis of product modularizations generation based on fuzzy cluster［J］. Computer Integrated Manufacturing Systems, 2003,9(Special magazine):123-126 (in Chinese). ［王海军,孙宝元,魏小鹏.基于模糊聚类的产品模块化形成过程分析［J］.计算机集成制造系统，2003, 12(专刊):123-126.］

[10] ZHAO Naiyan, FAN Yushun. A product-structure-based solution to select collaborating partners of agile virtual enterprise ［J］.Computer Integrated Manufacturing Systems,2002,8(2):99-104 (in Chinese). ［赵乃岩,范玉顺.基于产品结构的动态联盟盟员选择算法［J］.计算机集成制造系统,2002,8(2):99-104.］

[11] SUH N. Axiomatic design theory for systems［J］. Research in Engineering Design，1998,10(4):189-209.

[12] ERICSSON A,ERIXON G.Controlling design variants:modular product platforms［M］. New York， NY，USA：ASME Press,1999.

[13] GU Xinjian, QI Guoning, XU Fuyuan，et al. Quantitative analysis method of mass customization［J］. China Mechanical Engineering,2001, 3(12):312-315 (in Chinese).［顾新建,祁国宁,徐福缘，等.大批量定制生产模式的定量分析方法［J］.中国机械工程, 2001,3(12):312-315.］

[14] BAI S. A distributed system structure for modular product architecture development and variation［D］. Canada:University of Windsor, 2001.29-64.

[1]	高子建,张晗睿,窦万春,徐江民,孟顺梅. 基于谱聚类和隐语义模型的智能协同推荐方法[J]. 计算机集成制造系统, 2021, 27(9): 2517-2524.
[2]	莫启,向吉祥,汪煜祺,代飞,许小龙,齐连永. 基于流程抽象的协同业务过程符合性验证[J]. 计算机集成制造系统, 2021, 27(9): 2542-2555.
[3]	周博文,黄海军,徐怡,李学俊,高寒,陈天翔,刘晓,徐佳. 无人机配送系统中端边协同的并行任务调度算法[J]. 计算机集成制造系统, 2021, 27(9): 2575-2582.
[4]	满君丰,赵龙乾,彭成,李倩倩. 云边协同计算架构下大规模工厂接入的任务调度[J]. 计算机集成制造系统, 2021, 27(8): 2282-2294.
[5]	周圣文,郭顺生,杜百岗,郭钧,李益兵,王磊,查大虎,张富江,于磊. 数字孪生净水厂运维管控一体化平台关键技术及应用[J]. 计算机集成制造系统, 2021, 27(2): 432-444.
[6]	莫超雄,刘建军,陈庆新,毛宁,胡常伟. 集成化定制需求下多地总装作业过程敏捷协同管控系统[J]. 计算机集成制造系统, 2021, 27(11): 3103-3119.
[7]	阴艳超,张万达,廖伟智,牛红伟. 分布式科技资源多服务任务优化调度[J]. 计算机集成制造系统, 2021, 27(11): 3209-3218.
[8]	杨丽丽,李文龙,孔祥龙,许浩. 混合不确定性鲁棒协同优化设计方法[J]. 计算机集成制造系统, 2021, 27(11): 3282-3290.
[9]	石建平,李培生,刘国平,刘鹏. 基于改进克隆选择算法的机械臂运动学逆解[J]. 计算机集成制造系统, 2021, 27(10): 2929-2939.
[10]	陈耶拉,耿秀丽. 基于改进协同过滤的个性化产品服务系统方案推荐[J]. 计算机集成制造系统, 2021, 27(1): 240-248.
[11]	张文龙,胡天亮,王艳洁,魏永利. 云/边缘协同的轴承故障诊断方法[J]. 计算机集成制造系统, 2020, 26(第3): 589-599.
[12]	黎阳,李新宇,牟健慧. 基于改进模拟退火算法的大规模置换流水车间调度[J]. 计算机集成制造系统, 2020, 26(第2): 366-375.
[13]	邹萍,张华,马凯蒂,程仕通. 面向边缘计算的制造资源感知接入与智能网关技术研究[J]. 计算机集成制造系统, 2020, 26(第1): 40-48.
[14]	郭钧,朱文豪,杜百岗,李益兵,王磊,郭顺生. 考虑协同效应的复杂产品系统绿色供应商多阶段选择方法[J]. 计算机集成制造系统, 2020, 26(9): 2573-2589.
[15]	王平,王克,潘燕华,葛世伦. 云环境下的价值链协同收益分配[J]. 计算机集成制造系统, 2020, 26(8): 2030-2036.