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Comparative Analysis of Object-Based Big Data Storage Systems on Architectures and Services: A Recent Survey

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Abstract

Object storage systems are a flexible class of storage where data are architectured and stored in the form of units called objects. Objects may store structured, semi-structured or unstructured data, so it is well suited for big data in cloud environments. It was introduced particularly for academic purposes at Carnegie Mellon University and the University of California at Berkeley. Till then, large-scale file systems were practiced for their search engine. The earliest instance of object storage used in an organization was EMC’s Centera platform (2001). This article plays an important role in the industry and research in the field of understanding the available storage systems for supporting big data features, whereas our analysis of the object-based storage system is based on the classification of the storage systems and the comparative study of these systems’ architecture. It helps to distinguish the basic characteristics of object-based storage systems with respect to the implementation of these storage systems. Furthermore, it discusses the future perspective, research challenges and limitations.

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Notes

  1. https://cloudian.com/blog/object-storage-vs-file-storage/

  2. https://github.com/minio/minio.

  3. https://docs.ceph.com/docs/jewel/rados/configuration/filesystem-recommendations/

  4. https://docs.ceph.com/docs/master/rados/operations/erasure-code/

  5. https://docs.openstack.org/swift/latest/overview_erasure_code.html.

  6. http://www.freeraidrecovery.com/library/what-is-raid.aspx.

  7. https://docs.ceph.com/docs/master/dev/rados-client-protocol/

  8. https://www.t10.org/drafts.htm#OSD_Family.

  9. https://www.snia.org/

  10. http://www.snia.org/cdmi.

  11. https://www.ctera.com/partners/detail/emc-alliance-partner/

  12. https://docs.ceph.com/docs/master/radosgw/

  13. https://www.backblaze.com/b2/cloud-storage.html.

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Funding

The authors declare that no funds, grants or other support were received during the preparation of this manuscript.

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Author notes

  1. Madhupa Sanyal, Hrishav Bakul Barua, Samiran Chattopadhyay and Kartick Chandra Mondal have contributed equally to this work.

Authors and Affiliations

  1. Department of Information Technology, Jadavpur University, Kolkata, West Bengal, India

    Anindita Sarkar Mondal, Samiran Chattopadhyay & Kartick Chandra Mondal

  2. Genpact, Bangaluru, Karnataka, India

    Madhupa Sanyal

  3. Robotics and Autonomous Systems Group, TCS Research, Kolkata, West Bengal, India

    Hrishav Bakul Barua

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All authors contributed equally to the study and documentation. The first draft of the manuscript was written by Anindita Sarkar Mondal and Madhupa Sanyal, and all authors commented and modified on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Anindita Sarkar Mondal.

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Mondal, A.S., Sanyal, M., Barua, H.B. et al. Comparative Analysis of Object-Based Big Data Storage Systems on Architectures and Services: A Recent Survey. J. Inst. Eng. India Ser. B 105, 685–700 (2024). https://doi.org/10.1007/s40031-023-00983-z

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