UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRAU06040


Registration ID:
202011

Page Number

280-286

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Title

Partitioning and Cloning of Cloud Data for Best Performance and Security

Abstract

Cloud computing winds up all well known Technologies among clients. The clients are pulled in towards the cloud because of its offers like on-request organize get to, diminished space, pay-per-use administration, adaptability, versatility and so on. Clients transfer their record on the cloud that contains touchy information, so it ought to be sheltered. storing information in cloud requires higher safety efforts and furthermore enhancement of the information recovery time. Along these lines, the framework approaches the issues of security and execution. In this manner, partitioning and cloning of cloud information for best execution and security is utilized to give answer for the record information security. In this system the documents in the distributed storage are partitioned into number of segments and cloning the divided information over the cloud hub. Every hub stores just a solitary piece of a specific information data. No significant data is uncovered to the assailant even if there should be an occurrence of effective assault. The partition of the data is finished by T-coloringinorder to preclude an assailant to figure the pieces area. This approach examinations best recovery time by keeping the number of pieces and number of hubs least.

Key Words

partitioining, cloning,T-coloring

Cite This Article

"Partitioning and Cloning of Cloud Data for Best Performance and Security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.280-286, March-2019, Available :http://www.jetir.org/papers/JETIRAU06040.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Partitioning and Cloning of Cloud Data for Best Performance and Security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp280-286, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06040.pdf

Publication Details

Published Paper ID: JETIRAU06040
Registration ID: 202011
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 280-286
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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