Next-Gen Cloud Data Recovery: Harnessing Parity in Partially Distributed File Systems for Seamless Data Restoration

Anthani Kamala Priya; Shaik Jani; Polamuri Sahithi; Anusha Darapureddy; Ravallakollu Madhuri

doi:10.2991/978-94-6463-471-6_51

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Next-Gen Cloud Data Recovery: Harnessing Parity in Partially Distributed File Systems for Seamless Data Restoration

Authors

Anthani Kamala Priya¹, Shaik Jani²^{, *}, Polamuri Sahithi¹, Anusha Darapureddy³, Ravallakollu Madhuri⁴

¹Assistant Professor, CSE, NS Raju Institute of Technology, Visakhapatnam, AP, India

²Assistant Professor, CSE, Vignan’s Foundation of Science, Technology & Research, Vadlamudi, Guntur, AP, India

³Assistant Professor, CSE, Anil Neerukonda Institute of Technology & Sciences (A), Visakhapatnam, AP, India

⁴Assistant Professor, IT, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, AP, India

^*Corresponding author. Email: skj.shaikjani@gmail.com

Corresponding Author

Shaik Jani

Available Online 30 July 2024.

DOI: 10.2991/978-94-6463-471-6_51 How to use a DOI?
Keywords: Cloud Storage System; Chunks; Address of Chunk; deciphering keys
Abstract: Cloud Computing provides towering benefits like huge scalability, low cost, accessible promptly still simultaneously it recommends distinct risks, burdens and vulnerabilities also [1]. Even though different cloud structure and services are emerging with vast expansion, some specific concerns stopped the organizations from completely joining the cloud due to various problem like security attacks, unavailability of data when he severs is attacked, more responding time, etc. In this, the work relates to a method or system that provides a parity distribution in a cloud storage system. This allows the identification of storage locations and retrieval of related chunks in distributed cloud storage by using variable chunk size, address of distributed chunk’s locations and deciphering local & remote keys for the reconstruction of the required file separately which is under the attacked server.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series: Advances in Computer Science Research
Publication Date: 30 July 2024
ISBN: 978-94-6463-471-6
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-471-6_51 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Anthani Kamala Priya
AU  - Shaik Jani
AU  - Polamuri Sahithi
AU  - Anusha Darapureddy
AU  - Ravallakollu Madhuri
PY  - 2024
DA  - 2024/07/30
TI  - Next-Gen Cloud Data Recovery: Harnessing Parity in Partially Distributed File Systems for Seamless Data Restoration
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 529
EP  - 535
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_51
DO  - 10.2991/978-94-6463-471-6_51
ID  - Priya2024
ER  -

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