Semantic Grid Resource Recovery Research Based On Ant Colony Optimization

With the development of the Internet and the information technology,the network information and socialization is also progressing in high speed.The informationization project has improved rapidly,which brings us the publication of information.But in the process of informationization there are also many problems.We are facing many new demands and challenges,one of the problems is information resources can not sharing,and distributed resource can not be used effectively.Hence,solving the information sharing problem and removing the isolation of information and knowledge has been an important research field in recent years.The enormous and variety number,the dynamic,WAN distribution and heterogeneous resources obstruct the advancement of the resource discovery mechanism under the grid system.This paper mainly studies on how to make users sharing resources with higher speed and accuracy rate.In this paper we propose building Semantic Grid resource discovery research model and algorithm based on the ant colony algorithm.The main work is as follows:(1)A_GRRM algorithm is presented based on the ant colony algorithm aiming at the inefficiency of original operations.We design the AA_GRRM system structure,mainly study on the three modules of AA_GRRM:resource organization mode,users request retransmit,ant server. The main work includes several parts:through study management model of the information resources organizations,we establishment the network node of domain server;through the analysis of the ant colony algorithm.And we improve ant colony algorithm to adapt to the grid for the area of resource discovery.(2)In order to make the ant colony algorithm more efficiently,SGRRM is presented based on Semantic Grid.We design the SGRRM system structure;mainly study the key technology of SGRRM:the organizations,the ontology,the initialization and updating,the matching algorithm of resources and the resources discovery in Semantic Grid.(3)In the thesis we focused on the introduction of the ant colony algorithm Semantic Grid Resource Discovery.Through improved the basic ant colony algorithm we can adapt to the request of grid resources Recovery.This thesis improved the initialization and updating of the ant colony algorithm pheromone;with this we can achieve the Semantic Grid Resource Discovery ant colony algorithm.(4)Using the Matlab,we research into the feasibility and effectiveness of the ant colony algorithm in the grid environment resources and analyze and compare the performance of the experiments.Our research proves Grid Resource discovery and Information Service.Discovery mechanism combined distributed with centralized is presented based on the ant colony algorithm,and it can solve the bottleneck problem and enhance the initiative of the dynamic services;achieved Grid dynamic resource discovery on the grid to a certain extent,has positive significance for the further development of information service;Resource Discovery which Based on the Semantic grid has solved the single approach,the lack of matching resources of the traditional grid resource discovery,has been conducive to sharing resources.