A Machine Learning-Based Approach to Estimate the CPU-Burst Time for Processes in the Computational Grids

The implementation of CPU-Scheduling algorithms such as Shortest-Job-First (SJF) and Shortest Remaining Time First (SRTF) is relying on knowing the length of the CPU-bursts for processes in the ready queue. There are several methods to predict the length of the CPU-bursts, such as exponential averag...

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Vydané v:	2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS) s. 3 - 8
Hlavní autori:	Helmy, Tarek, Al-Azani, Sadam, Bin-Obaidellah, Omar
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2015
Predmet:	Artificial intelligence Computational modeling CPU Scheduling Algorithm CPU-Burst Feature Selection Machine Learning Scheduling algorithms Single machine scheduling Testing
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