A multi-level scheduler for the grid computing YML framework
Euro-Par'06 Proceedings of the CoreGRID 2006, UNICORE Summit 2006, Petascale Computational Biology and Bioinformatics conference on Parallel processing
New challenges of parallel job scheduling
JSSPP'07 Proceedings of the 13th international conference on Job scheduling strategies for parallel processing
On-line hierarchical job scheduling on grids with admissible allocation
Journal of Scheduling
Job Allocation Strategies with User Run Time Estimates for Online Scheduling in Hierarchical Grids
Journal of Grid Computing
Parallel job scheduling — a status report
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Energy-Aware Scheduling on Multicore Heterogeneous Grid Computing Systems
Journal of Grid Computing
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Typically, Grid resources are subject to individual access and usage policies because they are provided by different owners. These policies are usually enforced by local management systems that maintain control of the resources. However, few Grid users are willing to deal with those management systems directly in order to coordinate the resource allocation for their jobs. This leads to a Grid scheduling architecture with several layers. In such an architecture, a higher-level Grid scheduling layer and the lower-level layer of local scheduling systems must efficiently cooperate in order to make the best use of Grid resources. In this chapter we describe attributes characterizing those features of local management systems that can be exploited by a Grid scheduler.