DocumentCode :
3238509
Title :
DSQGG: An optimized genetic-based algorithm for scheduling in distributed grid
Author :
Delavar, Arash Ghorbannia ; Rahmany, Mostafa ; Halaakouie, Ayden ; Sookhtsaraei, Reza
Author_Institution :
Payam Noor Univ., Tehran, Iran
fYear :
2010
fDate :
2-4 Nov. 2010
Firstpage :
365
Lastpage :
369
Abstract :
In this paper, a novel scheduling algorithm has been presented that is more efficient and has more reliability comparing similar algorithms. DSQGG is a novel algorithm that by defining new parameters and metrics, has decreased the delay and also response time of job. Also it satisfies the satisfaction level of servers. Several simulation results show that by using this new algorithm, a better makespan in total task process and a better performance of distributed system are being achieved. This way, quality of service in different levels of distributed processors is being increased and finally acknowledge delay of processes is being decreased significantly.
Keywords :
genetic algorithms; grid computing; scheduling; DSQGG; distributed grid; distributed processors; optimized genetic-based algorithm; scheduling algorithm; service quality; Biological cells; Gallium; Genetics; Distributed systems; Genetic Algorithm; Grid Systems; Independent Task; Scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Technology and Development (ICCTD), 2010 2nd International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8844-5
Electronic_ISBN :
978-1-4244-8845-2
Type :
conf
DOI :
10.1109/ICCTD.2010.5645855
Filename :
5645855
Link To Document :
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