Titlebook: Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems; Joanna Kołodziej Book 2012 Springer-Ve

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1860-949X resents a detailed classification of scheduling problems.Pro.One of the most challenging issues in modelling today‘s large-scale computational systems is to effectively manage highly parametrised distributed environments such as computational grids, clouds, ad hoc networks and P2P networks. Next-gen

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Interneuron Heterogeneity in Neocortex on the information about resource failures and the resulting tasks and machines characteristics. This information is used by the schedulers for an effective minimization of the scheduling objective function and the improvement of the system throughput.

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Energy-Aware Scheduling of Independent Tasks in Computational Gridsic Algorithms (GAs) and Island GA models for four CG significant scenarios in static and dynamic modes. The simulation results show that meta-heuristic grid schedulers can significantly reduce the energy consumption in the system as well as be easily adapted to various scheduling scenarios.

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