The Research On The Grid Resource Energy Allocation Based On Mobile Agent

Grid computing is the next generation Internet technology. In initial stages, the grid computing technology is mainly used in high-performance scientific computing applications. But now it is not limited to this, and lots of Grid technologies used in different areas recently, such as Biology Grid, Information Grid and so on. One of the optimums of Grid is that it can share various computing and data resources in the nation even in the globe, and these resources include multi-file systems, database resource, high performance computer, costly equipment, software and so on. Grid is a huge Super Computer which integrates the whole internet, and it realized a general sharing of the computing resource, storage resource and information resource. Resource management is an important and difficult problem in the grid computing. How to use Grid resource efficiently and rapidly is vital to the grid.In the large-scale internet environment, that is the grid environment, this paper aims at how to allocate the Grid resources effectively and reasonably. The author's main workings are below:1 We analyze three Grid resource management models: the computational economy model, the abstract owner model and the hierarchical model. The characteristics of them are discussed and we get a conclusion.2 We propose the model of the Grid resource generalized energy allocation. We define and analyze there types of Grid resources: computing resource, storage resource and information resource. Then we get the parameters of the Grid resource performance, and get the model by using RSL language, grey projection model and credit model, which has provided foundation for the Architecture of Grid Resource Generalized Energy Allocation.3 We propose the Architecture of the Grid Resource Energy Allocation based on the mobile agent, which uses the generalized generalized energy function to define, distinguish and allocate different resources for the first time. We use the mobile agent to realize the grid resource energy flowing, radiating and weekening. Italso uses the energy rank to define regions so the grid energy allocation of the region and the balance among the regions are realized. Thus, the reasonable and high efficient active allocation of the grid resources is achieved.4 We propose the communication system based on the energy. We analyze the communication failure and message following in the normal mobile agent communication. In this Grid resource allocation system, we propose the communication system based on the energy which can effectively resolve the problems in the communication of mobile agent.The study in the paper has some theoretic and practical value in the field of Grid resource allocation and it is a useful reference for designing Grid resource allocation system.