Abstract
In the recent world, one of the buzzwords in information technology is cloud computing. Cloud computing provides a novel approach of service provision by rearranging numerous resources over the Internet. Cloud computing uses a cloud database to store information. Cloud database can be accessed by the users from anywhere, and at any time with the help of Internet. Cloud database can handle a huge amount of data. But, the data duplicity can be a major problem associated to cloud computing database. This redundant data may go unnoticed but can consume a lot of storage space. In this paper, a novel algorithm is proposed to reduce data redundancy in the cloud environment by separating and analyzing the raw data and the meta-data. The output result shows that the proposed redundancy elimination process in the cloud database could be highly beneficial for the vendor.
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Mohapatra, S., Bajpai, N., Swarnkar, T., Mishra, M. (2020). Raw Data Redundancy Elimination on Cloud Database. In: Das, A., Nayak, J., Naik, B., Dutta, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 1120. Springer, Singapore. https://doi.org/10.1007/978-981-15-2449-3_34
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DOI: https://doi.org/10.1007/978-981-15-2449-3_34
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