Journal of Management and Architecture Research
eISSN: 2689-3541 pISSN: 2689-355X
Articles | Open Access |

Based on an analysis of Amazon S3, real service simulation techniques are used to study the latency performance of distributed storage systems

Abstract

To create the parity nodes, current erasure codes mainly rely on data nodes. "If we can increase the number of parity nodes, we may increase our chances of restoring the original data," the more error tolerance there is. Because data nodes are frequently queried to aid in the repair of parity nodes, as the number of parity nodes increases, so will the storage overhead and the burden of repair on data nodes. For example, all data nodes in LRC [25, 26] need to be fixed if a global parity node fails. The "increasing demands on the network's data nodes" mean that processing read requests for data nodes will take longer. A program where regular data and FH HTSC, or High Failure-tolerant Hierarchical Tree Structure Code."

Keywords

Data Nodes, Data Retrieval, Hierarchical Tree Structure

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Based on an analysis of Amazon S3, real service simulation techniques are used to study the latency performance of distributed storage systems. (2024). Journal of Management and Architecture Research, 6(01), 21-29. https://jomaar.com/index.php/jomaar/article/view/5
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Based on an analysis of Amazon S3, real service simulation techniques are used to study the latency performance of distributed storage systems. (2024). Journal of Management and Architecture Research, 6(01), 21-29. https://jomaar.com/index.php/jomaar/article/view/5

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Copyright (c) 2024 SU RIGUGE, DR MOHAMMAD NIZAMUDDIN INAMDAR (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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