James, Adegboye and Folahan, Jiboku (2022) DATA DUPLICATION REMOVAL IN CLOUD COMPUTING BASED ON FILE CHECKSUM. In: Proceedings of the 3rd International Conference, The Federal Polytechnic, Ilaro, 16th & 17th Aug, 2022, 16-17 August, 2022, The Federal Polytechnic Ilaro, Ogun State, Nigeria.
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Abstract
In recent times, data deduplication has gained attention and it is becoming well known in commercial storage systems. This is as a result of increased in digital content. It takes away superfluous data at from the file and sub-file level and contents that are being repeated by using the file checksum algorithm, which is found to be more efficient in terms of computation than classic compression methods in huge storage systems. Data deduplication is becoming more of a necessity for cloud storage providers as the size of data and the number of customers continue to grow at an exponential rate. Providers of cloud computing drastically cut their data storage and transfer costs by keeping a copy of repeated data. Addressing rising storage demands is a difficult and time-consuming process that necessitates a huge computational infrastructure for effective data processing and analysis. This work provides a breakdown of cloud computing, storage, and inclusion also considering cloud file services. It also considers deduplication storage efficiency by reviewing current data deduplication algorithms, implementations, and processes for the benefit of all stakeholders in cloud computing. It uses file checksum techniques to provide an efficient way of identifying and eliminating duplicates by computing file digest, which requires less time when compared with other approaches that have been used in the past.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Chemistry |
| Depositing User: | Mr. Bolanle Yisau I. |
| Date Deposited: | 08 Mar 2023 22:07 |
| Last Modified: | 08 Mar 2023 22:07 |
| URI: | http://eprints.federalpolyilaro.edu.ng/id/eprint/2128 |
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