Hadoop: Analysis of Cloud Computing Infrastructure

Wei Feng Zhang; Tin Wang

doi:10.4028/www.scientific.net/AMM.475-476.1201

Paper Titles

Sense of Community and Continuance Intention towards Online Language Learning
p.1182

A Software Defect Prediction Model during the Test Period
p.1186

Parallel Integration Using OpenMP and GPU to Solve Engineering Problems
p.1190

Design and Implementation of College OA System Based on UML and J2EE
p.1195

Hadoop: Analysis of Cloud Computing Infrastructure
p.1201

Application of Knowledge Management in E-Commerce Based on Fuzzy Theory
p.1207

Future Internet Trends Research
p.1211

Cloud-Based Teaching Resource Construction in Beijing Colleges and Universities
p.1215

Analysis on the Security Assess Requirements of Mobile Banking Based on Mobile Smart Terminal
p.1219

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 475-476Hadoop: Analysis of Cloud Computing Infrastructure

Hadoop: Analysis of Cloud Computing Infrastructure

Abstract:

As a kind of cloud computing infrastructure, Hadoop has attracted more attention from a group of corporations and has been widely used. The framework and character of Hadoop were detailed introduced and analyzed as well as the application opportunities of Hadoop in the field of communication in the future were prospected in this paper. An application based on Hadoop was designed and experiment result demonstrates the efficiency of Hadoop on dealing with big dataset.

You might also be interested in these eBooks

Sensors, Measurement and Intelligent Materials II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 475-476)

Pages:

1201-1206

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.475-476.1201

Citation:

Cite this paper

Online since:

December 2013

Authors:

Wei Feng Zhang*, Tin Wang

Keywords:

Cloud Computing, Distributed File System, Hadoop, MapReduce

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] L. Peng. Cloud Computing . Electronic Industry Press，(2010).

Google Scholar

[2] Apache. Welcome to Apache Hadoop. 2011, http: /hadoop. apache. org.

Google Scholar

[3] Owen O' Malley, Introduction to Hadoop, Yahoo Inc.

Google Scholar

[4] Dhruba Borthakur, The Hadoop Distributed File System: Architecture and Design, The Apache Software Foundation, (2007).

Google Scholar

[5] J. Dean and S. Ghemawat, MapReduce: Simplified Data Processing on Large Clusters, In OSDI'04, 6th Symposium on Operating Systems Design and Implementation, Sponsored by USENIX, in cooperation with ACM SIGOPS, pages 137-150, (2004).

Google Scholar

[6] Ralf Lammel, Google's MapReduce programming model – Revisited, Data Programmability Team, Microsoft Corp., Redmond, WA, USA, 18 July (2007).

Google Scholar

[7] Doug Cutting, Scalable Computing with Hadoop, Yahoo Inc!, May 4th, (2006).

Google Scholar

[8] Owen O' Malley, Eric Baldeschwieler, Petabyte Scale on Commodity Infrastructure, Yahoo Inc.

Google Scholar

[9] Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, Gary Bradski, Christos Kozyrakis, Evaluating MapReduce for Multi-core and Multi-processor Systems, Proceedings of the 13th International Symposium on High-Performance Computer Architecture, Phoenix, AZ, Feb, (2007).

DOI: 10.1109/hpca.2007.346181

Google Scholar