期刊文献+

云制造资源虚拟化研究 被引量:136

Resource virtualization in cloud manufacturing
下载PDF
导出
摘要 为实现软硬物理制造资源的全面互联、感知与反馈控制,并将物理制造资源转化为逻辑制造资源,解除物理制造资源与制造应用服务之间的紧耦合,以支持资源高利用率、高敏捷性、高可靠、高安全、高可用的虚拟云制造服务环境,分析了云制造资源虚拟化的相关技术,提出了云制造资源虚拟化框架,论述了虚拟化支持下的云制造关键技术。指出云制造资源虚拟化能够实现更全面和更深入的软硬资源共享;能够形成具有高扩展性和灵活伸缩性的大规模虚拟资源云池;能够按需动态敏捷调配资源,获得资源高利用率并实现节能降耗;能够支持高可靠、高安全的多主体协同运行;能够支持全生命周期用户按需获取普适化的高可用服务操作环境。 As a key technology of Cloud Manufacturing(CMfg),resource virtualization leveraged Internet of Things(IoT),Cyber-Physical System(CPS),and computing virtualization to achieve intelligent perception and control of all kinds of physical manufacturing resources,which could be transformed into logic resources so as to decouple physical elements from application services.Resource virtualization targeted to support a virtual service environment for CMfg with high efficiency,agility,reliability,security,and usability.Relevant technologies of CMfg resource virtualization were analyzed.And a layered framework for resource virtualization in CMfg was proposed.It was also pointed out that CMfg resource virtualization could realize overall resource sharing,obtain higher resource utilization rate and reduce energy consumption.It supported collaboration operation of multi-Agent with high reliability and security.It also provided satisfactory service operation environment for overall product lifecycle users.
出处 《计算机集成制造系统》 EI CSCD 北大核心 2011年第3期511-518,共8页 Computer Integrated Manufacturing Systems
基金 国家973计划资助项目(2007CB310900) 中央高校基本科研业务费专项资金资助项目 国家863计划资助项目~~
关键词 云制造 虚拟化 制造资源虚拟化 云服务 云计算 物联网 cloud manufacturing virtualization manufacturing resource virtualization cloud service cloud computing Internet of things
  • 相关文献

参考文献2

二级参考文献36

  • 1施国强,朱耀琴,李伯虎,柴旭东.复杂虚拟样机工程的项目管理技术研究[J].系统仿真学报,2005,17(8):1905-1908. 被引量:3
  • 2宁焕生,张瑜,刘芳丽,刘文明,渠慎丰.中国物联网信息服务系统研究[J].电子学报,2006,34(B12):2514-2517. 被引量:151
  • 3潘林,赵会群,孙晶.基于网格技术的物联网Savant中间件的实现技术[J].计算机应用研究,2007,24(6):292-294. 被引量:16
  • 4FLAMMIA G. Application service providers: challenges and opportunities[J].IEEE Intelligent Systems and Their Applications, 2001,16(1) ,22-23.
  • 5SMITH A D, RUPP W T. Application service providers (ASP):moving downstream to enhance competitive advantage[J].Information Management and Computer Security, 2002,10(2/3) : 64-72.
  • 6TAO Fei, HU Yefa, ZHOU Zude. Study on manufacturing grid & its resource service optimal selection system [J]. International Journal of Advanced Manufacturing Technology, 2008,37(9/10) :1022 -1041.
  • 7FAN Y S, ZHAO D Z, ZHANG L Q, et al. Manufacturing grid needs, concept, and architecture[C]//Proceedings of the 2nd International Workshop on Grid and Cooperative Computing(GCC 2003). Berlin, Germany : Springer, 2003 :653-656.
  • 8PREISS K. Agile manufaeturing[J]. Computer-Aided Design, 1994,26(2) :83-84.
  • 9YUSUF Y Y, SARHADI M, GUNASEKARAN A. Agile manufacturing:the drivers, concepts and attributes[J]. International Journal of Production Economies, 1999, 62 (1/2) 33 -43.
  • 10ULIERU M, NORRIE D, KREMER R, et al. A multi resolution coilaborative architectcure for Web centric global manufacturing[J]. Information Sciences,2000,127(1/2) :3 -21.

共引文献887

同被引文献1230

引证文献136

二级引证文献1104

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部