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网格资源的组织与发现研究
引用本文:杨清平,邓小清,蒲国林,邱玉辉.网格资源的组织与发现研究[J].重庆师范大学学报(自然科学版),2008,25(4):70-73.
作者姓名:杨清平  邓小清  蒲国林  邱玉辉
作者单位:四川文理学院,计算机科学系,四川,达州,635000;西南大学,语义网格实验室,重庆,400715;四川文理学院,计算机科学系,四川,达州,635000;西南大学,语义网格实验室,重庆,400715
基金项目:西南大学研究生科技创新基金
摘    要:分析了网格资源的组织形式,阐述了蚁群算法的基本原理,提出了一种基于蚁群算法的网格资源发现方法.其中,将用户请求本体看作蚂蚁,查找的资源即搜索的目标视为食物,食物源就是存在搜索目标的节点.蚂蚁寻找食物的过程就是网格资源的发现过程.

关 键 词:网格  蚁群算法  资源发现

Research into Organization and Discovery of Grid Resource
YANG Qing-ping,DENG Xiao-qing,PU Guo-lin,QIU Yu-hui.Research into Organization and Discovery of Grid Resource[J].Journal of Chongqing Normal University:Natural Science Edition,2008,25(4):70-73.
Authors:YANG Qing-ping  DENG Xiao-qing  PU Guo-lin  QIU Yu-hui
Abstract:The core of grid technique is grid resources management,and the grid resources discovery is the basic constitute part in it.The grid resources discovery provides a valid set to meet the demands for other grid resources managements.This paper uses the organized form of domain resources,which classify resources through the resources attribute,and build up a domain for each resources classification.We research the joining and renewing of domain resources and the discovery of the resources with ant colony optimization.We treat the customer request ontology as ant,the searching resources as the food and the node which includes searching target is a food source.The source node which sends out a search request equals to send ants to look for food in grid network,and transmits according to the certain rule,namely transmitting strategies.What the node in the grid is mentioned is a domain server node.Each node supports an abutment nodes form and an information hormone form.When an ant arrives,it sees if the node first has the food of demand.This is also the process which searches resources in the domain.The ant which is responsible for searching food crawls toward the neighbor node which is the nearest to the target according to the information hormone density in the node.
Keywords:grid  Ant Colony optimization  resources discovery
本文献已被 CNKI 维普 万方数据 等数据库收录!
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