Resource brokering in grid environments using evolutionary algorithms
PDCN'06 Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks
PaCT '09 Proceedings of the 10th International Conference on Parallel Computing Technologies
Future Generation Computer Systems
Optimised scheduling of grid resources using hybrid evolutionary algorithms
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Agent-Based grid scheduling with calana
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Peer-to-Peer Desktop Grids Based on an Adaptive Decentralized Scheduling Mechanism
International Journal of Grid and High Performance Computing
Autonomic load balancing mechanisms in the P2P desktop grid
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
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Condor is a batch job system that, unlike many other scheduling systems, allows users to access both dedicated computers and computers that are not always available, perhaps because they are used as desktop computers or are not under local control. This introduces a number of problems, some of which are solved by Condor's preemptive resume scheduling, which is the focus of this paper. Preemptive resume scheduling allows jobs to be interrupted while running, and then restarted later. Condor uses preemption in several ways in order to implement the policies supplied by users, computer owners, and system administrators.