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Hash Table Assisted Efficient File Level De-Duplication Scheme in SD-IoV Assisted Sensing Devices

Ghawar Said1, Ata Ullah2, Anwar Ghani1,*, Muhammad Azeem1, Khalid Yahya3, Muhammad Bilal4, Sayed Chhattan Shah5,*

1 Department of Computer Science, International Islamic University, Islamabad, 44000, Pakistan
2 Department of Computer Science, National University of Modern Languages, Islamabad, 44000, Pakistan
3 Department of Electrical and Electronics Engineering, Nisantasi University, Istanbul, 34467, Turkey
4 Department of Computer Engineering, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do, 17035, Korea
5 Department of Information and Communication Engineering, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do, 17035, Korea

* Corresponding Authors: Anwar Ghani. Email: email; Sayed Chhattan Shah. Email: email

Intelligent Automation & Soft Computing 2023, 38(1), 83-99. https://doi.org/10.32604/iasc.2023.036079

Abstract

The Internet of Things (IoT) and cloud technologies have encouraged massive data storage at central repositories. Software-defined networks (SDN) support the processing of data and restrict the transmission of duplicate values. It is necessary to use a data de-duplication mechanism to reduce communication costs and storage overhead. Existing State of the art schemes suffer from computational overhead due to deterministic or random tree-based tags generation which further increases as the file size grows. This paper presents an efficient file-level de-duplication scheme (EFDS) where the cost of creating tags is reduced by employing a hash table with key-value pair for each block of the file. Further, an algorithm for hash table-based duplicate block identification and storage (HDBIS) is presented based on fingerprints that maintain a linked list of similar duplicate blocks on the same index. Hash tables normally have a consistent time complexity for lookup, generating, and deleting stored data regardless of the input size. The experiential results show that the proposed EFDS scheme performs better compared to its counterparts.

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Cite This Article

G. Said, A. Ullah, A. Ghani, M. Azeem, K. Yahya et al., "Hash table assisted efficient file level de-duplication scheme in sd-iov assisted sensing devices," Intelligent Automation & Soft Computing, vol. 38, no.1, pp. 83–99, 2023.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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