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Grids offer the potential to carry out difficult computing tasks and achieve superior aggregate performance through the utilization of remote resources and transparent collaboration between independent bodies (whether individuals or organizations). Grids are highly complex systems consisting of heterogeneous resources on disparate hosts interconnected across different Autonomous Systems and virtual organizations via a mixture of communication standards. Operating in such environments often proves erratic. Monitoring grid resources allow grid schedulers to adapt to changes in the status of remote resources and the network paths between them. Thus, monitoring the status of the different grid components is critical in order to ensure optimum performance.
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