Research On Grid Resource Scheduling Based On Mobile Agent

We can integrate all kinds of the resources across the Internet into a uniform system called grid system, which can provide the gird users with powerful services such as the sharing of information and computational ability. The gird technology has been seen as an important innovation since the popularity of Internet. Comparing with traditional distributed system's resource, the resource of the gird has the characteristic of distribution, dynamic, heterogeneity, so the resource management and distribution in gird system is more complex.After analyzed the technology of mobile agent that could move from one host to the other freely in Internet, we proposed a hierarchical model of grid resources monitoring based on mobile agent, that solve the problem of collecting resource parameter in heterogeneous environment.The thesis is looking for a more reasonable grid resource scheduling model and more efficient scheduling policy based on the characteristics of grid resources.After discussed the traditional scheduling, proposed an improved heterogeneous grid resource scheduling model, which was based on mobile agent. This model composed of global scheduling layer and local scheduling layer. The different layers used different scheduling policies that made this model more flexible and more efficient.One good resource scheduling algorithm could effectively assign the grid resource and improve the grid system performance. In this paper, we proposed a grid scheduler using Fast Ant Colony Algorithm, which satisfied the mutually conflicting goals of the users and the resource provider, as well as improved the velocity of the scheduler, by taking advantage of historical information on scheduling to match resource for tasks quickly.Finally, simulated the FACO scheduling algorithm in GridSim.The simulation result indicated the FACO scheduling algorithm was the best one. It enhanced the speed of the algorithm astringency and reduced the Makespan of finishing the tasks.