The Schedule Model For Grid Computing Optimization Based Network Monitoring

The use of the technology of grid computing is the result that many large applications require more and more computing resources and higher and higher computing capability. The kinds of the resources that involved in grid computing are complicate, their amount is large, and their constructions are changeful. So that grid-monitoring tools must monitor the grid computing at every moment when grid computing is running. Especially, when a grid-computing program is running in several computers that probably lived in deferent localities, there will be generated large volume of data streams in the network. In this way, if grid computing wants to run stably and efficiently, there is a need for a high rate and stable network link. Network monitoring can display the characteristic of the network and forecast the currency status of the network according to the historic log file. And network-monitoring components publish this information to the grid middleware. The grid middleware will adjust its behavior according to this information and improve the use efficiency of the network, and the administrator can schedule the grid computing. So the performance of the grid computing can be improved.If the grid system itself or the administrator wants to schedule and optimize the grid computing in a scientific way, there need some good scheduling and optimizing schemas. These schemas can be made as grid component that used by other middleware at any time.In the first chapter of this article, we can read the introduce of definition and catalog of the grid computing, the characteristic and function of the grid system, the model of the classical five layers of hourglass grid architecture and OGSA, which is new and combined by the technology of Web Services and grid, and several famous grid systems, for example, Globus.In the second chapter, these are introduced that the present research status of the grid application, its trend of improvementIn the third chapter, a classic network monitoring technologyin grid system is introduced, including its architecture, the network performance metric in the network monitoring, the main network monitoring tools and the way in which monitoring results publish to grid middleware. At last, the network monitoring testbed of European DataGrid is introduced.In the fourth chapter, we consider that given the fundamental relevance of network performance for the optimization of the grid computing, the concept of a novel service called the Network-based Optimization Service is introduced and its architecture, based on the use of internal cost functions, is presented. We show how network metrics can be combined to form complex compound metrics like the Closeness C;.(/?/;.,r;.,thr} and the Proximity function/>(,$?.).The Optimization Service can be used in a variety of different use cases; in this paper we show how Resource Brokers and Data Management can make use of network status for a considerable improvement of their decision-taking tasks.