The design methodology of Phoenix cluster system software stack
CHINA HPC '07 Proceedings of the 2007 Asian technology information program's (ATIP's) 3rd workshop on High performance computing in China: solution approaches to impediments for high performance computing
A dynamic and scalable performance monitoring toolkit for cluster and grid environments
International Journal of High Performance Computing and Networking
Efficient time series data classification and compression in distributed monitoring
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
WiGriMMA: A Wireless Grid Monitoring Model Using Agents
Journal of Grid Computing
Reliable resources brokering scheme in wireless grids based on non-cooperative bargaining game
Journal of Network and Computer Applications
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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.