H2Hadoop : Metadata Centric BigData Analytics on Related Jobs Data Using Hadoop Pseudo Distributed Environment

Authors(2) :-K. Sridevi, Dr. I Hema Latha

Hadoop contains a few impediments that could be created to have a higher execution in executing occupations. These restrictions are generally a result of information territory in the bunch, occupations and undertakings planning, CPU execution time, or asset designations in Hadoop. Information region and productive asset portion remains a test in cloud computing MapReduce platform. We propose an improved Hadoop design that lessens the calculation cost related with BigData investigation. In the meantime, the proposed engineering tends to the issue of asset distribution in local Hadoop. Improved Hadoop engineering influences on NameNode's capacity to relegate occupations to the TaskTrakers (DataNodes) inside the group. By adding controlling highlights to the NameNode, it can shrewdly immediate and dole out errands to the DataNodes that contain the required information. Proposed arrangement concentrate on removing highlights and building a metadata table that conveys data about the presence and the area of the information obstructs in the bunch. This empowers NameNode to guide the employments to particular DataNodes without experiencing the entire informational collections in the cluster.Comparing with local Hadoop, proposed Hadoop reduced CPU time, number of read operations, input data size, and another different factors.

Authors and Affiliations

K. Sridevi
PG Scholar (M.Tech), Department of Information Technology, Sagi Ramakrishnam Raju Engineering College, Bhimavaram, Andhra Pradesh, India
Dr. I Hema Latha
Associative Professor, Department of Information Technology, Sagi Ramakrishnam Raju Engineering College, Bhimavaram, Andhra Pradesh, India

Big Data, CJB Table, Hadoop, Hadoop Performance, Map Reduce,Sequential Data

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 834-841
Manuscript Number : CSEIT1726230
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

K. Sridevi, Dr. I Hema Latha, "H2Hadoop : Metadata Centric BigData Analytics on Related Jobs Data Using Hadoop Pseudo Distributed Environment", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.834-841, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726230

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