Resource Schedulingin Grid Computing: A Survey

Resource Schedulingin Grid Computing: A Survey

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Sonal Nagariya

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Mahindra Mishra

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Rajiv Gandhi Technical University

Resource Schedulingin Grid Computing: A Survey

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Abstract

Grid computing is a computing framework to meet growing demands for running heterogeneous grid enables applications. A grid system is composed of computers which are separately located and connected with each other through a network. Grids are systems that involve resource sharing and problem solving in heterogeneous dynamic grid environments. Here we present five different approaches/algorithms for resource allocation/ Scheduling in grid computing environment.

References

11 Cites in Article

Reference Format

K Akash,Kinjal Patel,Faldu,Mehta Meghna R Goswami,Prashant (2013). Grid Computing: An Overview.
D Skillicorn (2002). Motivating Computational Grids.
Darshan Kanzariya,Sanjay Patel (2013). Survey on Resource Allocation in Grid.
J Schopf (2003). Ten actions when grid scheduling.
Guopeng Zhao,Chunyan Zhiqishen,Miao A Fast and Intelligent Resource Allocation Service for Service-Oriented Grid.
T R.Srinivasan,R Shanmugalakshmi (2012). Neural Approach for Resource Selection with PSO for Grid Scheduling.
Hesam Izakian,Behrouz Tork Ladani,Kamran Zamanifar,Ajith Abraham (2009). A Novel Particle Swarm Optimization Approach for Grid Job Scheduling.
Mohammad Sayadi,Reza Ramezanian,Nader Ghaffari-Nasab (2010). A discrete firefly meta-heuristic with local search for makespan minimization in permutation flow shop scheduling problems.
Mayank Kumar Maheshwari,Abhay Bansal (1920). Process Resource Allocation in Grid Computing using Priority Scheduler.
Seung-Hye Jang,Xingfu Wu,Valerie Taylor,Gaurang Mehta,Karan Vahi,Ewadeelman Using Performance Prediction to Allocate Grid Resources.
Javier Carretero,Ajith Fatosxhafa,Abraham (2005). GENETIC ALGORITHM BASED SCHEDULERS FOR GRID COMPUTING SYSTEMS.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Sonal Nagariya. 2014. \u201cResource Schedulingin Grid Computing: A Survey\u201d. Global Journal of Computer Science and Technology - A: Hardware & Computation GJCST-A Volume 13 (GJCST Volume 13 Issue A2): .

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GJCST Volume 13 Issue A2
Pg. 9- 12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

artificial neural networks dynamic environment Genetic Algorithm grid computing predictions priority resource allocation

Submission ReceivedDecember 16, 2012
Peer Review Double Blind
Handling Editor
Accepted January 1, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

January 28, 2014

Language

en

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - A: Hardware & Computation

Authors: Sonal Nagariya, Mahindra Mishra (PhD/Dr. count: 0)

View Count (all-time): 309

Total Views (Real + Logic): 9358

Total Downloads (simulated): 2496

Publish Date: 2014 01, Tue

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Total Views: 9358

Total Downloads: 2496

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Grid computing is a computing framework to meet growing demands for running heterogeneous grid enables applications. A grid system is composed of computers which are separately located and connected with each other through a network. Grids are systems that involve resource sharing and problem solving in heterogeneous dynamic grid environments. Here we present five different approaches/algorithms for resource allocation/ Scheduling in grid computing environment.

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