Improved lightweight node storage solutions in blockchain

IF 5 3区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Egyptian Informatics Journal Pub Date : 2025-03-22 DOI:10.1016/j.eij.2025.100648

Hongping Cao , Raja Kumar Murugesan , Hongxing Cao , Hengfeng Shen

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引用次数: 0

Abstract

Lightweight nodes in blockchain systems face challenges in terms of dependence, verification efficiency, and security due to their limited storage and growing data volume. This article focuses on two types of lightweight nodes: lightweight clients (e.g., Bitcoin wallets) and DHT (Distributed Hash Table) cluster nodes. Lightweight clients rely entirely on full nodes for transaction verification, resulting in dependence and vulnerability. DHT cluster nodes share storage; thereby, each node maintains a fraction of the data and retrieves the remaining data from other nodes. This will introduce processing latency when verifying new transactions. Testing conducted on Bitcoin indicates that nodes maintaining recent blocks can locally verify most new transactions. Based on this, this article proposes a new design, RBS (Recent Block Storage), where each cluster node stores recent blocks and shares older ones. Lightweight clients expand storage for recent blocks. Test results on Bitcoin show this design can reduce remote data retrieval and associated processing delays for lightweight nodes by 90 % with only 8 GB of extra storage per node. This design improves the independence and security of lightweight clients and reduces inter-node data retrieval within DHT clusters. It will facilitate the broader application of blockchain technology across various fields.

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来源期刊

Egyptian Informatics Journal Decision Sciences-Management Science and Operations Research

CiteScore

11.10

自引率

1.90%

发文量

审稿时长

110 days

期刊介绍： The Egyptian Informatics Journal is published by the Faculty of Computers and Artificial Intelligence, Cairo University. This Journal provides a forum for the state-of-the-art research and development in the fields of computing, including computer sciences, information technologies, information systems, operations research and decision support. Innovative and not-previously-published work in subjects covered by the Journal is encouraged to be submitted, whether from academic, research or commercial sources.