Population-Based Metaheuristics for Tasks Scheduling in Heterogeneous Distributed Systems
نویسندگان
چکیده
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.
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