International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,March 2018,

Topic : Distributed Data Transfer for Disaster Using Cloud Computing Infrastructure

Authors:Keerthana R || Lavanya S, Preethi C, Priya S

Abstract:The main objective of this project is to enhance the data storage security and secured data transfer during disaster. To resolve this IaaS (Infrastructure as a Service) methodology will be implemented here. As per survey most of the banking server and data centres are placed in metropolitan cities, most of the metropolitan cities are in sea shore. We proposed the system to find out a solution for safe hand the data centres and banking servers. In this paper, we aimed to achieve the minimum cost benchmark, so we proposed a novel highly cost-effective and practical storage strategy that can automatically decide whether a generated data set should be stored or not at runtime in the cloud. The main focus of this strategy is the local-optimization for the trade off between computation and storage..

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DOI: 01.1617/vol5/iss3/pid82395


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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