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arXiv · 2406.00550

Demystifying Object-based Big Data Storage Systems

Anindita Sarkar Mondal·Madhupa Sanyal·Ari Kusumastuti·Hrishav Bakul Barua·Kartick Chandra Mondal
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Abstract

Today's era is the digitized era. Managing such generated big data is an important factor for data scientists. Day by day, it increases the demand for big data storage systems. Different organizations are involved in providing storage-related services. They follow the different architectures or storage models for storing big data. In this survey paper, our target is to highlight such storage architectures which provided by different renowned storage service providers. On an architectural basis, we divide the big data storage systems into five parts, Distributed file systems (DFS), Clustered File Systems (CFS), Cloud Storage, Archive Storage, and Object Storage Systems (OSS). Also, we reveal a detailed architectural view of the big data storage systems provided by the different organizations under these parts.

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Anindita Sarkar Mondal, Madhupa Sanyal, Ari Kusumastuti, Hrishav Bakul Barua, Kartick Chandra Mondal. 2024-06-01. Demystifying Object-based Big Data Storage Systems. https://arxiv.org/abs/2406.00550

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