Nature Inspired Enhanced Data Deduplication for Efficient Cloud Storage
Created by W.Langdon from
gp-bibliography.bib Revision:1.8178
- @InProceedings{Madhubala:2014:ICRTIT,
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author = "G. Madhubala and R. Priyadharshini and
P. Ranjitham and Santhi Baskaran",
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booktitle = "International Conference on Recent Trends in
Information Technology (ICRTIT 2014)",
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title = "Nature Inspired Enhanced Data Deduplication for
Efficient Cloud Storage",
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year = "2014",
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month = apr,
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keywords = "genetic algorithms, genetic programming,
Deduplication, Hashing, Levenshtein Algorithm",
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DOI = "doi:10.1109/ICRTIT.2014.6996211",
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size = "6 pages",
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abstract = "Cloud Computing is the delivery of computing as a
service, which is specifically involved with Storage of
data, enabling ubiquitous, convenient access to shared
resources that are provided to computers and other
devices as a utility over a network. Storage, which is
considered to be the key attribute, is hindered by the
presence of redundant copies of data. Data
Deduplication is a specialised technique for data
compression and duplicate detection for eliminating
duplicate copies of data to make storage efficient.
Cloud Service Providers currently employ Hashing
technique so as to avoid the presence of redundant
copies. Apparently, there are a few major pitfalls
which can be vanquished through the employment of a
Nature - Inspired, Genetic Programming Approach, for
deduplication. Genetic Programming is a systematic,
domain - independent programming model making use of
the ideologies of biological evolution so as to handle
a complicated problem. A Sequence Matching Algorithm
and Levenshtein's Algorithm are used for Text
Comparison and then Genetic Programming concepts are
used to detect the closest match. The performance of
these three algorithms and hashing technique are
compared. Since bio-inspired concepts, systems and
algorithms are found to be more efficient, a
Nature-Inspired Approach for data deduplication in
cloud storage is implemented.",
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notes = "Dept. of Inf. Technol., Pondicherry Eng. Coll.,
Pondicherry, India ; Also known as \cite{6996211}",
- }
Genetic Programming entries for
G Madhubala
R Priyadharshini
P Ranjitham
Santhi Baskaran
Citations