@inproceedings{b9144e722d494d8da33bbac7ebd42f89,
title = "MTEC: A Multi-tier Blockchain Storage Framework Using Erasure Coding for IoT Application",
abstract = "Blockchain technology is widely used in the Internet of Things (IoT) with its decentralization, traceability, and tamper-resistant features. Unfortunately, the massive data volumes in IoT systems, combined with the prevalent full-replication strategy employed by conventional blockchain, exert considerable storage demands on IoT edge computing devices and present a formidable challenge for resource-constrained nodes to join blockchain networks. Although some existing solutions improve storage scalability by reducing the number of redundant copies, they still pose issues of high storage complexity and significant cross-tier query costs. In this paper, we first propose a multi-tier storage framework using erasure coding for blockchain, called MTEC, tailored for IoT scenarios with an exponentially decaying data access pattern. Specifically, MTEC employs Reed-Solomon(RS) coding to build a tiered blockchain storage framework. Each tier is equipped with an encoding scheme and threshold time to minimize storage overhead. To enhance query efficiency, we design a block pre-loading strategy and node collaborative query strategy. Finally, we implement a prototype of MTEC and compare it with baseline blockchain systems. Extensive experiments demonstrate that MTEC achieves a substantial 86.3\% decrease in storage overhead compared to conventional full-replication blockchain solutions. It further outperforms state-of-the-art MLDC scheme by an additional 15.8\% storage optimisation and reduces the cost of cross-tier to 7.35\%.",
keywords = "Blockchain, Erasure coding, Internet of Things, Storage optimisation",
author = "Xinwei Xu and Yongkang Yu and Jinchun He and Qinnan Zhang and Hongwei Zheng and Binghui Guo and Jin Dong and Wangjie Qiu",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 8th Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data, APWeb-WAIM 2024 ; Conference date: 30-08-2024 Through 01-09-2024",
year = "2024",
doi = "10.1007/978-981-97-7241-4\_18",
language = "英语",
isbn = "9789819772407",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "278--293",
editor = "Wenjie Zhang and Zhengyi Yang and Xiaoyang Wang and Anthony Tung and Zhonglong Zheng and Hongjie Guo",
booktitle = "Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Proceedings",
address = "德国",
}