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Data deduplication techniques for efficient cloud storage management: a systematic review

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Abstract

The exponential growth of digital data in cloud storage systems is a critical issue presently as a large amount of duplicate data in the storage systems exerts an extra load on it. Deduplication is an efficient technique that has gained attention in large-scale storage systems. Deduplication eliminates redundant data, improves storage utilization and reduces storage cost. This paper presents a broad methodical literature review of existing data deduplication techniques along with various existing taxonomies of deduplication techniques that have been based on cloud data storage. Furthermore, the paper investigates deduplication techniques based on text and multimedia data along with their corresponding taxonomies as these techniques have different challenges for duplicate data detection. This research work is useful to identify deduplication techniques based on text, image and video data. It also discusses existing challenges and significant research directions in deduplication for future researchers, and article concludes with a summary of valuable suggestions for future enhancements in deduplication.

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Acknowledgements

This research was supported by Department of Science and Technology, Government of India under WOS (Women Scientists Scheme) sponsored research Project entitled “Distributed Data Deduplication Technique for efficient Cloud Based Storage System” under File No: SR/WOS-A/ET-119/2016.

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  1. Computer Science and Engineering Department, Thapar Institute of Engineering and Technology (Deemed to be University), Bhadson Road, Patiala, 147004, India

    Ravneet Kaur, Inderveer Chana & Jhilik Bhattacharya

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Kaur, R., Chana, I. & Bhattacharya, J. Data deduplication techniques for efficient cloud storage management: a systematic review. J Supercomput 74, 2035–2085 (2018). https://doi.org/10.1007/s11227-017-2210-8

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