Journal of Parallel and Distributed Computing
Dynamic Task Scheduling using Genetic Algorithms for Heterogeneous Distributed Computing
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 6 - Volume 07
GPC '09 Proceedings of the 4th International Conference on Advances in Grid and Pervasive Computing
Computational models and heuristic methods for Grid scheduling problems
Future Generation Computer Systems
Journal of Parallel and Distributed Computing
Scheduling highly available applications on cloud environments
Future Generation Computer Systems
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This paper proposes a simple population based heuristic for task scheduling in heterogeneous distributed systems. The heuristic is based on a hybrid perturbation operator which combines greedy and random strategies in order to ensure local improvement of the schedules. The behaviour of the scheduling algorithm is tested for batch and online scheduling problems and is compared with other scheduling heuristics.