The Cutting-Edge Hadoop Distributed File System: Un-leashing Optimal Performance

Gupta, Anish and Santhiya, P. and Thiyagarajan, C. and Gupta, Anurag and Gupta, Manish and Dwivedi, Rajendra Kr. (2022) The Cutting-Edge Hadoop Distributed File System: Un-leashing Optimal Performance. EAI Endorsed Transactions on Scalable Information Systems.

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Abstract

Despite the widespread adoption of 1000-node Hadoop clusters by the end of 2022, Hadoop implementation still encounters various challenges. As a vital software paradigm for managing big data, Hadoop relies on the Hadoop Distributed File System (HDFS), a distributed file system designed to handle dat

Item Type: Article
Date Deposited: 04 Mar 2026 20:21
Last Modified: 10 Apr 2026 17:48
URI: http://eprints.eai.eu/id/eprint/60302

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