Cost based Model for Big Data Processing with Hadoop Architecture

Cost based Model for Big Data Processing with Hadoop Architecture

Mayank Bhushan

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Sumit Kumar Yadav

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Cost based Model for Big Data Processing with Hadoop Architecture

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Abstract

With fast pace growth in technology, we are getting more options for making better and optimized systems. For handling huge amount of data, scalable resources are required. In order to move data for computation, measurable amount of time is taken by the systems. Here comes the technology of Hadoop, which works on distributed file system. In this, huge amount of data is stored in distributed manner for computation. Many racks save data in blocks with characteristic of fault tolerance, having at least three copies of a block. Map Reduce framework use to handle all computation and produce result. Jobtracker and Tasktracker work with MapReduce and processed current as well as historical data that’s cost is calculated in this paper.

References

16 Cites in Article

Reference Format

Peter Henderson (1981). Functional programming: Application and implementation.
John Hughes Why Functional Programming Matters.
Liu Liu,Jiangtao Yin,Lixin Gao Efficient Social Network Data Query Processing on MapReduce.
Open Graph.
(1997). AAFP Home Page http://www. abfp.com/aafp.
Linquan Zhang,Chuan Wu,Zongpeng Li,Chuanxiong Guo,Minghua Chen,C Francis,Lau (2013). Moving Big Data to The Cloud.
P Mika,G Tummarello (2008). Web Semantics in the Clouds.
Shengsheng Huang,Jie Huang,Jinquan Dai,Tao Xie,Bo Huang (2010). The HiBench benchmark suite: Characterization of the MapReduce-based data analysis.
P Costa,A Donnelly,A Rowtron,G Shea Camdoop: Exploiting in-network Aggregation for Big Data application.
Yanpei Chen,Archana Ganapathi,Rean Griffith,Randy Katz (2011). The Case for Evaluating MapReduce Performance Using Workload Suites.
A Pavlo,E Paulson,A Rasin,D Abadi,D Dewitt,S Madden,M Stonebraker A Comparison of Approaches to Large-Scale Data Analysis.
M Stonebraker,D Abadi,D Dewitt,S Madden,E Paulson,A Pavlo,A Rasin (2010). MapReduce and Parallel dbmss:Friends or Foes?.
Dawei Jiang,Beng Ooi,Lei Shi,Sai Wu (2010). The performance of MapReduce.
Yi Yuan,Haiyang Wang,Dan Wang,Jiangchuan Liu (2013). On Interference-aware Provisioning for Cloudbased Big Dat Processing.
S Ghemawat,H Gobioff,S Leung The Google File System.
Changquing Ji,Yu Li,Wenming Qiu,Uchechukwu Awada,Kequie Li (2012). Big Data Processing in Cloud Computing Environments.

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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

Mayank Bhushan. 2014. \u201cCost based Model for Big Data Processing with Hadoop Architecture\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C2): .

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GJCST Volume 14 Issue C2
Pg. 13- 17

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

big data Cloud Computing hadoop mapreduce

Submission ReceivedDecember 13, 2013
Peer Review Double Blind
Handling Editor
Accepted January 5, 2014
Published January 15, 2014

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v1.2

Issue date

May 15, 2014

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Mayank Bhushan, Sumit Kumar Yadav (PhD/Dr. count: 0)

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Publish Date: 2014 05, Thu

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Total Views: 8833

Total Downloads: 2189

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