DocumentCode :
3242885
Title :
A Cpu scheduling based on multi criteria with the help of evolutionary algorithm
Author :
Punhani, Akash ; Kumar, Sudhakar ; Chaudhary, Ruchi ; Sharma, Arvind Kumar
Author_Institution :
Dept. of Comput. Sci. & Eng., FET RBS Coll., Agra, India
fYear :
2012
fDate :
6-8 Dec. 2012
Firstpage :
730
Lastpage :
734
Abstract :
In this we paper presents an approach for CPU scheduling when considering the multiple criteria with the help on Multi-objective optimization. Scheduling in operating systems plays a significant role on performance of System, But this performance may be degraded if we some special condition. In this paper, we use the Multi objective genetic algorithm to provide better solution. We have considered the two factors as over objectives first is optimal waiting time and second is the execution of jobs based on their priorities. We will evaluate the performance and efficiency of the proposed algorithm using simulation results.
Keywords :
genetic algorithms; operating systems (computers); scheduling; CPU scheduling; evolutionary algorithm; multiobjective genetic algorithm; multiobjective optimization; operating systems; Argon; Encoding; Evolutionary computation; Silicon; Sociology; Statistics; CPU scheduling; Genetic algorithm; Multi-objective optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on
Conference_Location :
Solan
Print_ISBN :
978-1-4673-2922-4
Type :
conf
DOI :
10.1109/PDGC.2012.6449912
Filename :
6449912
Link To Document :
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