Stochastic model and evolutionary optimization algorithm for grid scheduling

Grid computing deals with computationally intensive distributed resources on heterogeneous environment, so grid scheduling is a fundamental challenge and is critical to performance and cost. Traditional grid scheduling algorithms most use deterministic models. But grid environments in the real world...

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Veröffentlicht in:	2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery Jg. 1; S. 424 - 428
Hauptverfasser:	Xuelin Shi, Ying Zhao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2010
Schlagworte:	Algorithm design and analysis Computer architecture Evolutionary Algorithm Grid Scheduling Grid Workflow QoS Quality of service Scheduling Scheduling algorithm Stochastic processes Stochastic Scheduling
ISBN:	1424459311, 9781424459315
Online-Zugang:	Volltext
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