Resource Management in Grid Computing: A Review

Sunita Rani; P.K.Suri

Resource Management in Grid Computing: A Review

Sunita Rani * §

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P.K.Suri

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§ BPSMV, Khanpurkalan, Sonepat, Haryana, India

Resource Management in Grid Computing: A Review

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Abstract

A Network Computing System is a virtual computer formed by a networked set of heterogeneous machines that agree to share their local resources with each other. A grid is a very large scale network computing system that scales to internet size environments with machines distributed across multiple organizationsand administrative domains. The resource management system is the central component of grid computing system. Resources in the grid are distributed, heterogeneous, autonomous and unpredictable. A resource management system matches requests to resources, schedules the matched resources, and executes the requests using scheduled resources. Scheduling in the grid environment depends upon the characteristics of the tasks, machines and network connectivity. The paper provides a brief overview of resource management in grid computing considering important factors such as types of resource management in grid computing, resource management models and comparison of various scheduling algorithm in resource management in grid computing.

References

30 Cites in Article

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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

Sunita Rani, P.K.Suri. 2014. "Resource Management in Grid Computing: A Review". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E17).

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GJCST Volume 13 Issue E17

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

grid computing resource management scheduling algorithms

Classification

GJCST-E Classification C.2.1

Submission ReceivedDecember 10, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published January 15, 2013

Version of record

v1.2

Issue date

February 7, 2014

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: P.K.Suri, Sunita Rani (PhD/Dr. count: 0)

View Count (all-time): 438

Total Views (Real + Logic): 3340

Total Downloads (simulated): 302

Publish Date: 2013 01, Tue

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Total Views: 3.3K

Total Downloads: 302

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