Research Article
An Efficient Data Retrieval Method for Blockchain
@INPROCEEDINGS{10.1007/978-3-031-33458-0_9, author={Yafeng Li and Hang Huang and Lichuan Ma}, title={An Efficient Data Retrieval Method for Blockchain}, proceedings={Tools for Design, Implementation and Verification of Emerging Information Technologies. 17th EAI International Conference, TridentCom 2022, Melbourne, Australia, November 23-25, 2022, Proceedings}, proceedings_a={TRIDENTCOM}, year={2023}, month={6}, keywords={blockchain composite data distributed storage retrieval}, doi={10.1007/978-3-031-33458-0_9} }- Yafeng Li
Hang Huang
Lichuan Ma
Year: 2023
An Efficient Data Retrieval Method for Blockchain
TRIDENTCOM
Springer
DOI: 10.1007/978-3-031-33458-0_9
Abstract
As blockchain has gained its popularity in different areas, there would be an unimaginable amount of data to be tackled to support its much richer functionalities. As a result, an efficient data retrieval method is of great significance for the development of blockchain. Thus, in this paper, a novel and efficient data retrieval scheme that is compatible with the decentralized nature of blockchain is proposed. Specifically, a new data structure for storing complex data is firstly put forward to reduce the redundancy of data storage on the chain in distributed storage scenario. Then, a counted bloom filter jump table structure that integrating bloom filter and jump table structures is designed to improve tag retrieval efficiency and enrich semantic queries in a low space occupation. Finally, extensive experiments have been conducted to verify the performance of the proposed method in terms of the retrieval efficiency and space ratio.
