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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2312.08309 |
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| _version_ | 1866913600308772864 |
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| author | Ahmed, Sabbir Nahiduzzaman, Md Islam, Tariqul Bappy, Faisal Haque Zaman, Tarannum Shaila Hasan, Raiful |
| author_facet | Ahmed, Sabbir Nahiduzzaman, Md Islam, Tariqul Bappy, Faisal Haque Zaman, Tarannum Shaila Hasan, Raiful |
| contents | With the surge in cloud storage adoption, enterprises face challenges managing data duplication and exponential data growth. Deduplication mitigates redundancy, yet maintaining redundancy ensures high availability, incurring storage costs. Balancing these aspects is a significant research concern. We propose FASTEN, a distributed cloud storage scheme ensuring efficiency, security, and high availability. FASTEN achieves fault tolerance by dispersing data subsets optimally across servers and maintains redundancy for high availability. Experimental results show FASTEN's effectiveness in fault tolerance, cost reduction, batch auditing, and file and block-level deduplication. It outperforms existing systems with low time complexity, strong fault tolerance, and commendable deduplication performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_08309 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | FASTEN: Towards a FAult-tolerant and STorage EfficieNt Cloud: Balancing Between Replication and Deduplication Ahmed, Sabbir Nahiduzzaman, Md Islam, Tariqul Bappy, Faisal Haque Zaman, Tarannum Shaila Hasan, Raiful Distributed, Parallel, and Cluster Computing With the surge in cloud storage adoption, enterprises face challenges managing data duplication and exponential data growth. Deduplication mitigates redundancy, yet maintaining redundancy ensures high availability, incurring storage costs. Balancing these aspects is a significant research concern. We propose FASTEN, a distributed cloud storage scheme ensuring efficiency, security, and high availability. FASTEN achieves fault tolerance by dispersing data subsets optimally across servers and maintains redundancy for high availability. Experimental results show FASTEN's effectiveness in fault tolerance, cost reduction, batch auditing, and file and block-level deduplication. It outperforms existing systems with low time complexity, strong fault tolerance, and commendable deduplication performance. |
| title | FASTEN: Towards a FAult-tolerant and STorage EfficieNt Cloud: Balancing Between Replication and Deduplication |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2312.08309 |