NDLI: Research on Coarse-grained Parallel Genetic Algorithm Based Grid Job Scheduling

Content Provider	IEEE Xplore Digital Library
Author	Huifu Zhang Ran Chen
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Hunan Univ. of Sci. & Technol., China (Huifu Zhang; Ran Chen)
Abstract	Optimizing job scheduling is the major issue in achieving high performance in grid computing systems. The grid workload consists of multiple jobs and the execution precedence constraints can be represented by a Directed Acyclic Graph. Genetic algorithms are useful to resolve large scale combinatorial prediction and optimization problems. In this paper, we represent a Coarse-grained parallel genetic algorithm based grid job scheduling model in which we minimize execution time of jobs and makespan of resources, improve utilization of resources. The analysis shows that the scheduling system using the coarse-grained parallel genetic algorithm can allocate job efficiently and effectively.
Starting Page	505
Ending Page	506
File Size	208838
Page Count	2
File Format	PDF
ISBN	9780769534015
DOI	10.1109/SKG.2008.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering GPGA Genetic Algorithm Encoding DAG Biological cells Genetic algorithms Radio access networks Grid Computing Computer science Processor scheduling Grid computing Genetic engineering Large-scale systems Grid Job Scheduling
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in