Nature Inspired Enhanced Data Deduplication for Efficient Cloud Storage

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Madhubala:2014:ICRTIT,
  author =       "G. Madhubala and R. Priyadharshini and 
                 P. Ranjitham and Santhi Baskaran",
  booktitle =    "International Conference on Recent Trends in
                 Information Technology (ICRTIT 2014)",
  title =        "Nature Inspired Enhanced Data Deduplication for
                 Efficient Cloud Storage",
  year =         "2014",
  month =        apr,
  keywords =     "genetic algorithms, genetic programming,
                 Deduplication, Hashing, Levenshtein Algorithm",
  DOI =          "doi:10.1109/ICRTIT.2014.6996211",
  size =         "6 pages",
  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.",
  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