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A Novel Location Awareing Mapreducing Techniques Using Big Data Applications

Bhavani Buthukuri1 , M E Purushoththaman2

  1. Department of CSE, Shri JagadishPrasad Jabarmal Tibrewala University, Jhun Jhunu, INDIA.
  2. Department of Computer Science and Engineering, JNTUH, INDIA.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 1082-1091, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.10821091

Online published on May 31, 2018

Copyright © Bhavani Buthukuri, M E Purushoththaman . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Bhavani Buthukuri, M E Purushoththaman, “A Novel Location Awareing Mapreducing Techniques Using Big Data Applications,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.1082-1091, 2018.

MLA Style Citation: Bhavani Buthukuri, M E Purushoththaman "A Novel Location Awareing Mapreducing Techniques Using Big Data Applications." International Journal of Computer Sciences and Engineering 6.5 (2018): 1082-1091.

APA Style Citation: Bhavani Buthukuri, M E Purushoththaman, (2018). A Novel Location Awareing Mapreducing Techniques Using Big Data Applications. International Journal of Computer Sciences and Engineering, 6(5), 1082-1091.

BibTex Style Citation:
@article{Buthukuri_2018,
author = { Bhavani Buthukuri, M E Purushoththaman},
title = {A Novel Location Awareing Mapreducing Techniques Using Big Data Applications},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {1082-1091},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2112},
doi = {https://doi.org/10.26438/ijcse/v6i5.10821091}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.10821091}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2112
TI - A Novel Location Awareing Mapreducing Techniques Using Big Data Applications
T2 - International Journal of Computer Sciences and Engineering
AU - Bhavani Buthukuri, M E Purushoththaman
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 1082-1091
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

There is a growing trend of applications that should handle big data. However, analyzing big data is a very challenging problem today. For such applications, the MapReduce framework has recently attracted a lot of attention. Google`s MapReduce or its open-source equivalent Hadoop is a powerful tool for building such applications. In this paper, we will discuss the MapReduce framework based on Hadoop, and how to design efficient MapReduce algorithms and present the state-of-the-art in MapReduce algorithms for data mining, machine learning, query processing, data analysis and similarity joins. The intended audience of this tutorial is professionals who plan to design and develop MapReduce algorithms and researchers who aware of the state-of-the-art in MapReduce algorithms available today for big data analysis.

Key-Words / Index Term

Map Reduce Framework, Hadoop, Data Mining, Query Processing, Data Analysis

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