Adaptive Computing on the Grid Using AppLeS
IEEE Transactions on Parallel and Distributed Systems
Condor-G: A Computation Management Agent for Multi-Institutional Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Scheduling in the Grid application development software project
Grid resource management
A framework for adaptive execution in grids
Software—Practice & Experience
A Loosely Coupled Vision for Computational Grids
IEEE Distributed Systems Online
Coordinated harnessing of the IRISGrid and EGEE testbeds with GridWay
Journal of Parallel and Distributed Computing - Special issue: 18th International parallel and distributed processing symposium
Benchmarking of high throughput computing applications on Grids
Parallel Computing
Evaluating the reliability of computational grids from the end user's point of view
Journal of Systems Architecture: the EUROMICRO Journal
Coordinated use of globus Pre-WS and WS resource management services with grid W ay
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
An evaluation methodology for computational grids
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
Workflow management in the crossgrid project
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
A QoS-based selection approach of autonomic grid services
Proceedings of the 2007 workshop on Service-oriented computing performance: aspects, issues, and approaches
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Metascheduling is a key functionality of the grid middleware in order to achieve a reasonable degree of performance and reliability, given the changing conditions of the computing environment In this contribution a comparative analysis between two major grid scheduling philosophies is shown: a semi-centralized approach, represented by the EGEE Workload Management System, and a fully distributed approach, represented by the GridWay Metascheduler This comparative is both theoretical, through a functionality checklist, and experimental, through the execution of a fusion plasma application on the EGEE infrastructure.