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