Welcome to the InfoSci Platform
Reference Hub9
A Global Survey on Data Deduplication

A Global Survey on Data Deduplication

Shubhanshi Singhal, Pooja Sharma, Rajesh Kumar Aggarwal, Vishal Passricha
Copyright: © 2018 |Volume: 10 |Issue: 4 |Pages: 24
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781522543398|DOI: 10.4018/IJGHPC.2018100103
Cite Article Cite Article

MLA

Singhal, Shubhanshi, et al. "A Global Survey on Data Deduplication." IJGHPC vol.10, no.4 2018: pp.43-66. http://doi.org/10.4018/IJGHPC.2018100103

APA

Singhal, S., Sharma, P., Aggarwal, R. K., & Passricha, V. (2018). A Global Survey on Data Deduplication. International Journal of Grid and High Performance Computing (IJGHPC), 10(4), 43-66. http://doi.org/10.4018/IJGHPC.2018100103

Chicago

Singhal, Shubhanshi, et al. "A Global Survey on Data Deduplication," International Journal of Grid and High Performance Computing (IJGHPC) 10, no.4: 43-66. http://doi.org/10.4018/IJGHPC.2018100103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This article describes how data deduplication efficiently eliminates the redundant data by selecting and storing only single instance of it and becoming popular in storage systems. Digital data is growing much faster than storage volumes, which shows the importance of data deduplication among scientists and researchers. Data deduplication is considered as most successful and efficient technique of data reduction because it is computationally efficient and offers a lossless data reduction. It is applicable to various storage systems, i.e. local storage, distributed storage, and cloud storage. This article discusses the background, components, and key features of data deduplication which helps the reader to understand the design issues and challenges in this field.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.