Title : A classical file system revision approach to improve space and time efficiency in Hadoop based architecture along with the parametric machine learning algorithms

Type of Material: Thesis
Title: A classical file system revision approach to improve space and time efficiency in Hadoop based architecture along with the parametric machine learning algorithms
Researcher: N, Kirankumar K.R
Guide: Babu, I. Ramesh
Department: Department of computer science & engineering
Publisher: Acharya Nagarjuna University, Guntur
Place: Guntur
Year: 2021
Language: English
Subject: classical file system
Hadoop based architecture
Dissertation/Thesis Note: PhD

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035__|a(IN-AhILN)th_443342
040__|aNGJN_522510|dIN-AhILN
041__|aeng
100__|aN, Kirankumar K.R|eResearcher
110__|aDepartment of computer science & engineering|bAcharya Nagarjuna University, Guntur|dGuntur
245__|aA classical file system revision approach to improve space and time efficiency in Hadoop based architecture along with the parametric machine learning algorithms
260__|aGuntur|bAcharya Nagarjuna University, Guntur|c2021
502__|bPhD
653__|aclassical file system
653__|aHadoop based architecture
700__|aBabu, I. Ramesh|eGuide
905__|anotification

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