Research Of Knowledge Grid Based On Knowledge Base

The theory of grid computing and information grid which is based on repository is set forth by the numbers.Firstly, the concept of grid computing , the pivotal techniques used to realize grid computing, the work of computing grid and the supporting hardware and software are introduced; the foreground of grid computing in our country is analyzed and the problems need to be solved in grid computing technique is expatiated according to developing status in quo of grid computing. Secondly, the status in quo of grid technique and the development of it in the near future is introduced. The importance of cluster server, which is an important part of grid node, in grid computing is discussed. A mathematic model of the arrival of computing package at grid node is put forward. And the model is used to analyze the distributed computing strategy of grid nodes, which is significant for using the computing resource of cluster server fully and advancing the service ability of grid nodes. Subsequently, the concept of repository and management system of repository fetched out. By analyzing the development course of information grid, some viewpoints about the intelligentized development direction of information grid are clarified. The characteristic form of computing package in grid nodes is analyzed and the algorithm of picking up the characteristic of computing package is given. The Bayes risk decision-making model is used to eliminate the invalidated computing packages. The reasons were given that why it is useful to intelligent knowledge grid that we analyzed the characters of computing packages, and some problems on intelligent knowledge grid we^ faced were given in addition. In the process of construction of knowledge system of grid distributing deployment, new technology such as J2EE and EJB is used to realize the computing model. Through the analysis of principle of computing deployment model arithmetic, a example is given to describe this method. At last, the application prospect of knowledge grid was described.