Grid task scheduling based on constraint satisfaction neural network

Task scheduling is of great significance to shorten performing time and minimize the cost for computational Grid. A grid task schedule algorithm is presented in this paper, which is based on a constraint satisfaction neural network. The constraint satisfaction means to remove the violations for sequ...

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Bibliographische Detailangaben

Hauptverfasser:	Dong Yueli, Guo Quan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational efficiency Computer networks Computer science constraint Costs grid Grid computing neural network Neural networks Neurons Processor scheduling Scheduling algorithm System recovery task scheduling
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