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Computational and data grids consist of the coordinated utilization of large sets of diverse, geographically distributed resources for high performance computation. In order to make better use of these computing entities, a substantial amount of monitoring data is collected for a variety of tasks. The large number of heterogeneous resources available in grids makes the task challenging. The processing of mass data is another problem with large amounts of monitoring data increasing. In this paper, a monitoring system in grid environment called GridView is presented. It gathers much important information from a large computing facility. For giving more efficient performance evaluation, comprehensive computation capacity (C3) model is set up. GridView also gives mass data management mechanism and mass data visualization technique. Due to the grid environment, GridView must consider dynamic changes and heterogeneous characteristic of different platforms.
Date of Conference: 20-22 July 2004