Research Of Grid Simulation Technology Based On Gridsim

In the past ten years, scientific computing has been shifting from centric to distribute and parallel pattern; recently this trend has extended to grid computing. Grid is an important development trend for parallel and distributed computing technology nowadays, aiming at realizing sharing the large quantity of heterogeneous resources largely distributed geographically. Because of the characters of distributed and shared, self-resembling, dynamic and diverse, autonomous and manifold management of a grid, resource management and scheduling under grid environments is one of the key research fields of grid systems. Now the tools of grid simulation are gradually being used to help the designers of the grid systems to validate the scheme and test the performance of the grid system. Especially the simulation tools for the part of resource scheduling have become the key point of the research in this field.Thesis analyses and uses the part of Visual Modeler of GridSim simulator developed by The University of Melbourne for reference, designs and realizes a grid simulator PactSim mainly used to simulate resource distributing method based on calculating economic models, for that it can study the performance of the grid technology, including the number of the completed jobs, the time and cost spent. It provides general modularizing and extensible simulation library. Through various entity modeling and communication between them, the system simulation can even tally with the characteristics of real grid environment.Thesis introduces the architecture of the grid simulator, the mechanism and process of the modeling simulation and the realization method of every module in details. It includes the modules of user and resource, resource scheduling police, grid environment, java code generation, code compilation and execution and result analyses. The extensible grid simulation platform which the essay puts forward focusing on the part of grid resource scheduling, considers the topology of the network, so the result is more agree with the real grid environment, and it sets up a good base for the future research in the field of grid simulation.