计算机科学与技术

云制造资源服务的组织与发现机制

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  • 华南理工大学 计算机系统研究所,广东 广州 510006
张倩(1982-),女,博士生,主要从事云制造研究.

收稿日期: 2013-01-09

  修回日期: 2013-04-28

  网络出版日期: 2013-08-01

基金资助

国家自然科学基金资助项目(61070015);广东省自然科学基金团队项目(10351806001000000);广东省重大科技专项(2012A080104017)

Organization and Discovery Mechanisms of Resource Services for Cloud Manufacturing

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  • Research Institute of Computer Systems,South China University of Technology,Guangzhou 510006,Guangdong,China
张倩(1982-),女,博士生,主要从事云制造研究.

Received date: 2013-01-09

  Revised date: 2013-04-28

  Online published: 2013-08-01

Supported by

国家自然科学基金资助项目(61070015);广东省自然科学基金团队项目(10351806001000000);广东省重大科技专项(2012A080104017)

摘要

为有效地组织云制造资源服务和支持复杂的用户搜索,引入了云制造资源服务的关键属性,按照不同关键属性对云制造资源服务分别进行注册,提出了基于分布式哈希表和分层的云制造资源服务组织模型,设计了支持 5 种查询方式的云制造资源服务发现算法,并分析了该算法的复杂度.仿真实验结果表明, 文中提出的算法具有较好的性能,能够有效地解决分布式云制造资源服务的复杂搜索问题.

本文引用格式

张倩 齐德昱 . 云制造资源服务的组织与发现机制[J]. 华南理工大学学报(自然科学版), 2013 , 41(9) : 87 -94 . DOI: 10.3969/j.issn.1000-565X.2013.09.015

Abstract

In order to effectively organize the resource services for cloud manufacturing and to support the complex user search,first,the key attributes of resource services are introduced in this paper.Next,the resource services are respectively registered according to their key attributes.Then,a layered resource service organization model for cloud manufacturing is proposed based on the distributed hash table,and five discovery algorithms respectively for five query types are designed based on the proposed model. Finally,the complexities of the proposed algorithms are discussed.Simulation results show that the proposed algorithms possess excellent performance and can effectively solve the complex search problems existing in the resource services for the distributed cloud manufacturing.

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