Load Balancing and Job Migration Algorithms for Autonomic Grid Environment

Load Balancing and Job Migration Algorithms for Autonomic Grid Environment

Paritosh Kumar

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Pankaj Kumar

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Monika Singh

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University of Delhi

Sant Longowal Institute of Engineering and Technology

ρ Mody University of Science and Technology

Load Balancing and Job Migration Algorithms for Autonomic Grid Environment

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Abstract

Resource management and load balancing are the main areas of concern in a distributed, heterogeneous and dynamic environment like Grid. Load balancing may further cause Job migration or in some cases resubmission of Job. In this paper a number of job migration algorithms have been surveyed and studied which have resulted because of the Load balancing problem. A comparative analysis of these algorithms has also been presented which summarizes the utility and applicability of different algorithms in different environment and circumstances.

References

13 Cites in Article

Reference Format

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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.

Data Availability

Not applicable for this article.

How to Cite This Article

Paritosh Kumar. 2014. \u201cLoad Balancing and Job Migration Algorithms for Autonomic Grid Environment\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 14 (GJCST Volume 14 Issue B1): .

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GJCST Volume 14 Issue B1
Pg. 1- 5

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Submission ReceivedDecember 7, 2013
Peer Review Double Blind
Handling Editor
Accepted January 4, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

May 1, 2014

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - B: Cloud & Distributed

Authors: Paritosh Kumar, Pankaj Kumar, Monika Singh (PhD/Dr. count: 0)

View Count (all-time): 283

Total Views (Real + Logic): 8806

Total Downloads (simulated): 2358

Publish Date: 2014 05, Thu

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Total Views: 8806

Total Downloads: 2358

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