A Scheduling Algorithm for Increasing the Quality of the Distributed Systems by using Genetic Algorithm - Volume 1 Number 1 (Apr. 2011) - ijiet
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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2011 Vol.1(1): 58-62 ISSN: 2010-3689
DOI: 10.7763/IJIET.2011.V1.10

A Scheduling Algorithm for Increasing the Quality of the Distributed Systems by using Genetic Algorithm

Arash Ghorbannia Delavar, Vahe Aghazarian, Sanaz Litkouhi and Mohsen Khajeh Naeini

Abstract—This article will present a scheduling algorithm for increasing the quality of the distributed system by using genetic algorithm. The proposed algorithm OQSG is more efficient in comparison with the previous algorithms. This proposed algorithm can be reliable like the other algorithms, regarding the effective parameters used for the available scheduling. OQSG algorithm can create more efficient parameters by using the priority function that is more reliable by using the scheduling the most used works. The proposed algorithm can use the least possible time in comparison with the previous algorithm, using new techniques in the purpose function. This condition helps us to use the effective parameters, which increase the system efficiency, after several assessment used in the heterogeneous purpose function. The proposed algorithm can have the optimum selection in processing and allocating the resources, considering maximum and minimum scheduling of works. This work is fulfilled when we decrease the complexity of time. Finally, we could create the efficiency of distributed systems with high quality according to different simulation results.

Index Terms—RQSG-I; Genetic Algorithm; Scheduling; Grid Systems; Dependent Task; OQSG; Grid Systems; RQSG.

Arash Ghorbannia Delavar, Payam Noor University, faculty of engineering, Tehran, Iran, a_ghorbannia@pnu.ac.ir
Vahe Aghazarian, Islamic Azad University, Central Tehran Branch Tehran, Iran, v_aghazarian@iauctb.ac.ir
Sanaz Litkouhi, Payam Noor University, Tehran, Iran, slitkouhi@pnu.ac.ir
Mohsen Khajeh Naeini, Payam Noor University, faculty of engineering, Iran, Tehran, mohsen_kh_n@yahoo.com.

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Cite: Arash Ghorbannia Delavar, Vahe Aghazarian, Sanaz Litkouhi and Mohsen Khajeh Naeini, "A Scheduling Algorithm for Increasing the Quality of the Distributed Systems by using Genetic Algorithm," International Journal of Information and Education Technology vol. 1, no. 1, pp. 58-62, 2011.

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