Abstract
Data acts like the heart of an organization, so it needs to be protected from loss and damage. For this purpose, we use backup and recovery strategies. But duplication, which is present in the data, creates a high-cost problem in relation to the storage. With the high rate of increment in the amount of data, it has become a problem to store it in such an efficient manner so that we can reduce the cost of storage and get enough space at low cost. To overcome this problem, at the time of data backup a technique is used to eliminate the redundant data so that one single unique copy of data will be stored which will save space and cost, that technique is known as data deduplication. This paper includes the study of different methods and techniques proposed by other researchers about the data deduplication system.
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References
Vikraman, R., Abirami, S.: A study on various data de-duplication systems. Int. J. Comput. Appl. 94(4), 35–40 (2014)
Sun, G.-Z. et al.: Data backup and recovery based on data de-duplication. In: International Conference On Artificial Intelligence And Computational Intelligence, pp. 379–382 (2010)
Wang, J., et al.: I-sieve: an inline high performance deduplication system used in cloud storage. Tsinghua Sci. Technol. 20(1), 17–27 (2015)
Yang, T., et al.: FBBM: a new backup method with data de-duplication capability. In: International Conference on Multimedia and Ubiquitous Engineering, pp. 30–35 (2008)
Fu, M., et al.: Reducing fragmentation for in-line deduplication backup storage via exploiting backup history and cache knowledge. IEEE Trans. Parallel Distrib. Syst. 27(3), 855–868 (2016)
Zhu, G., et al.: An intelligent data de-duplication based backup system. In: 15th International Conference on Network-Based Information Systems, pp. 771–776 (2012)
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Singh, S., Singh, R. (2018). A Viewpoint on Different Data Deduplication Systems and Allied Issues. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 564. Springer, Singapore. https://doi.org/10.1007/978-981-10-6875-1_38
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DOI: https://doi.org/10.1007/978-981-10-6875-1_38
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