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

作　　者：Ghawar Said Ata Ullah Anwar Ghani Muhammad Azeem Khalid Yahya Muhammad Bilal Sayed Chhattan Shah 

机构地区：[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

出　　处：《Intelligent Automation & Soft Computing》2023年第10期83-99,共17页智能自动化与软计算（英文）

基　　金：supported in part by Hankuk University of Foreign Studies’Research Fund for 2023 and in part by the National Research Foundation of Korea(NRF)grant funded by the Ministry of Science and ICT Korea No.2021R1F1A1045933.

摘　　要：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.

关 键 词：Hash table de-duplication linked list IoT sensing devices 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]