NDLI: RQSG-I: An optimized real time scheduling algorithm for tasks allocation in grid environments

Content Provider	IEEE Xplore Digital Library
Author	Aghazarian, V. Delavar, A.G. Motlagh, N.G. Naeini, M.K.
Copyright Year	2011
Description	Author affiliation: Islamic Azad University, Central Tehran Branch, Tehran, Iran (Aghazarian, V.) \|\| Islamic Azad University, Central Tehran Branch, Iran (Motlagh, N.G.) \|\| Payam Noor University, Tehran, Iran (Delavar, A.G.; Naeini, M.K.)
Abstract	In this paper we introduce an optimized real time scheduling algorithm for tasks allocation in grid environment. The modified RQSG algorithm is an optimized algorithm that is being improved using processing node and processing power parameters. The proposed algorithm allocates group jobs with prioritization rather than RQSG algorithm and also has dependent nodes in which the tasks are being done with less complexity as a set of output edges for each node. We have decreased the source loss time in proposed algorithm using a new technique and also have increased the efficiency by choosing various weighting positions of nodes in comparison with similar algorithms. With sources prioritized allocation, we have evaluated the requested times and the answers and thus optimized final processing time for task allocation. In comparison with standard RQSG algorithm, the weight and communication cost parameters have been increased in dependent tasks in modified RQSG algorithm and this has caused decreased makespan in qualification functions. By using prioritization queues and weight setting in priority functions, we have optimized the loss time in multi-face graphs with higher time complexity.
Starting Page	205
Ending Page	210
File Size	1779354
Page Count	6
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6013810
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	RQSG RQSG-I Genetic Algorithm Scheduling Grid Systems Dependent Tasks
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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