Call for Papers:Vol.12 Issue.2

Submission
Last date		 28-Apr-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-2. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop)
PaperId: :  21389
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21389
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Abdul Ahad AfrozAvanthi Institute of Engineering and Technology
MOHD NASEERUDDINAvanthi Institute of Engineering and Technology
Shaik Subhan AliAvanthi Institute of Engineering and Technology

Abstract

Computer Science & Engineering
Cloud ,Redundancy ,Duplication
Cloud computing expect an basic work within the trade arrange as figuring resources are passed on on ask to clients over the Web. Dispersed computing gives on-request and unavoidable get to cent rated pool of configurable resources, for illustration, frameworks, applications, and organizations This ensures the tremendous larger part of endeavors and number of clients xternalize their data into the cloud specialist. As of late, secure de-duplication techniques have bid broad interface within the both educational and mechanical affiliations. The essential favored position of utilizing disseminated capacity from the clients' point of view is that they can lessen their utilization in buying and keeping up capacity system. By the making information estimate of appropriated enlisting, a decay in information volumes may offer assistance suppliers diminishing the costs of running immense collecting framework and sparing control utilization. So data de-duplication methodologies have been proposed to move forward capacity adequacy in cloud stockpiles. Too, considering almost the confirmation of fragile reports. Some time recently putting absent the records into the clouded stockpile they habitually utilize a few encryption calculations to guarantee them. Here we propose stratagies for secure data de-duplication Cloud: it is able to be a innovation of dispersed records making ready Through internet innovation in which a few extensible Facts property and bounds are given as an Help to wide variety of outside customers. cloud computing: cloud computing may be a conveyingComputing manipulate( cpu, smash, organize speeds, Ability os program) a benefit over the net with out bodily having the computing assets at the Consumer region.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Abdul Ahad Afroz, MOHD NASEERUDDIN, and Shaik Subhan Ali. "Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop)" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 2532-2538
MLA Abdul Ahad Afroz, MOHD NASEERUDDIN, and Shaik Subhan Ali. "Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop)." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 2532-2538.
APA Abdul Ahad Afroz, MOHD NASEERUDDIN, & Shaik Subhan Ali. (2023). Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop). International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 2532-2538.
Chicago Abdul Ahad Afroz, MOHD NASEERUDDIN, and Shaik Subhan Ali. "Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop)." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 2532-2538.
Oxford Abdul Ahad Afroz, MOHD NASEERUDDIN, and Shaik Subhan Ali. 'Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop)', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 2532-2538. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Redundancy_in_Cloud_Server_De_duplication_of_Data_in_Big_Data__Hadoop__ijariie21389.pdf (Accessed : ).
Harvard Abdul Ahad Afroz, MOHD NASEERUDDIN, and Shaik Subhan Ali. (2023) 'Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop)', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 2532-2538IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Redundancy_in_Cloud_Server_De_duplication_of_Data_in_Big_Data__Hadoop__ijariie21389.pdf (Accessed : )
IEEE Abdul Ahad Afroz, MOHD NASEERUDDIN, and Shaik Subhan Ali, "Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop)," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 2532-2538, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Redundancy_in_Cloud_Server_De_duplication_of_Data_in_Big_Data__Hadoop__ijariie21389.pdf [Accessed : ].
Turabian Abdul Ahad Afroz, MOHD NASEERUDDIN, and Shaik Subhan Ali. "Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop)." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 ().
Vancouver Abdul Ahad Afroz, MOHD NASEERUDDIN, and Shaik Subhan Ali. Redundancy in Cloud Server De-duplication of Data in Big Data (Hadoop). International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(4) : 2532-2538. Available from: https://ijariie.com/AdminUploadPdf/Redundancy_in_Cloud_Server_De_duplication_of_Data_in_Big_Data__Hadoop__ijariie21389.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Employee Performance PortalComputer science and engineeringP.Harika Download
STATE AWARE MULTI-HOP ROUTING VIA DIGITAL TWIN FOR IOT NETWORKSINTERNET OF THINGS (WSN)PATEL NENSI RAKESHBHAI Download
Soil Quality Assessment Using Machine Learning & IoTComputer EngineeringKiran D Kshirsagar Download
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
Civica AI: A Politician-Centric Grievance Redressal and Service DirectoryComputer EngineeringKaranjule Dhanashri Bhausaheb Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
12