Performance Issues of Heterogeneous Hadoop Clusters in Cloud Computing

Dr. B.Thirumala Rao; V.Krishna Reddy

Performance Issues of Heterogeneous Hadoop Clusters in Cloud Computing

Dr. B.Thirumala Rao * §

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harshi.5807

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V.Krishna Reddy

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§ Lakireddy Bali Reddy College of Engineering

Performance Issues of Heterogeneous Hadoop Clusters in Cloud Computing

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Abstract

Nowadays most of the cloud applications process large amount of data to provide the desired results. Data volumes to be processed by cloud applications are growing much faster than computing power. This growth demands new strategies for processing and analyzing information. Dealing with large data volumes requires two things: 1) Inexpensive, reliable storagee 2) New tools for analyzing unstructured and structured data. Hadoop is a powerful open source software platform that addresses both of these problems. The current Hadoop implementation assumes that computing nodes in a cluster are homogeneous in nature. Hadoop lacks performance in heterogeneous clusters where the nodes have different computing capacity. In this paper we address the issues that affect the performance of hadoop in eterogeneous clusters and also provided some guidelines on how to overcome these bottlenecks.

References

7 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

Dr. B.Thirumala Rao, harshi.5807, V.Krishna Reddy. 1970. "Performance Issues of Heterogeneous Hadoop Clusters in Cloud Computing". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 8).

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GJCST Volume 11 Issue 8

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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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Classification

GJCST Classification H.2.4

H.3.4

C.2.1

Submission ReceivedMarch 29, 2011
Peer Review Double Blind
Handling Editor
Accepted April 21, 2011
Published May 3, 2011

Version of record

v1.2

Issue date

May 7, 2011

Language

English

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Article Matrices

Total Score: 149

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. B.Thirumala Rao,N.V.Sridevi,V.Krishna Reddy,L.S.S.Reddy (PhD/Dr. count: 1)

View Count (all-time): 302

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Publish Date: 2011 05, Tue

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Total Views: 8K

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