The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Condor-G: A Computation Management Agent for Multi-Institutional Grids
Cluster Computing
Job Scheduling Under the Portable Batch System
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Sun Grid Engine: Towards Creating a Compute Power Grid
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Computer
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
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GRID environments are privileged targets for computation-intensive problem solving in areas from weather forecasting to seismic analysis. Mainly composed by commodity hardware, these environments can deliver vast computational capacity, at relatively low cost. In order to take full advantage of their power we need to have efficient task schedulers with the ability to maximize resource effectiveness, shortening execution times. GRID schedulers must not only decide taking a snapshot of the GRID's status into account, but should also consider the output involved in past decisions. In this work, we intend to show how resource usage can be analyzed, through the use of data mining techniques, to predict performance availability of a GRID environment, as a preliminary work to increase scheduling efficiency as well as adequate resource provisioning.