AdaptChain : Adaptive Scaling Blockchain With Transaction Deduplication
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
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Detail(s)
Original language | English |
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Article number | 10102556 |
Journal / Publication | IEEE Transactions on Parallel and Distributed Systems |
Volume | 34 |
Issue number | 6 |
Online published | 14 Apr 2023 |
Publication status | Published - Jun 2023 |
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DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85153496138&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(fbe8c43f-81a5-449f-92c2-729b35386a0f).html |
Abstract
Although existing schemes improve blockchain throughput by allowing concurrent blocks to be appended to the blockchain, little attention has been devoted to adjusting blockchain throughput dynamically and deduplicating transactions between concurrent blocks. In this paper, we propose AdaptChain, an adaptive scaling blockchain with transaction deduplication. When the transaction demand of users in the network is high, the blockchain expands to meet the demand; when the transaction demand is low, the blockchain shrinks to save communication and storage costs. Our transaction deduplication mechanism ensures that no duplicate transactions are added to the blockchain, thereby improving bandwidth utilization and achieving higher effective throughput. Besides, we randomly split the mining power of the system to achieve mining power load balancing and resist attacks. We formally analyze the blockchain security and implement the proposed prototype on Amazon EC2. Experimental results show that AdaptChain achieves dynamic and higher effective blockchain throughput. © 2023 IEEE.
Research Area(s)
- blockchain scalability, consensus protocol, Distributed system, load balancing, ttransaction deduplication
Citation Format(s)
AdaptChain: Adaptive Scaling Blockchain With Transaction Deduplication. / Xu, Jie; Xie, Qingyuan; Peng, Sen et al.
In: IEEE Transactions on Parallel and Distributed Systems, Vol. 34, No. 6, 10102556, 06.2023.
In: IEEE Transactions on Parallel and Distributed Systems, Vol. 34, No. 6, 10102556, 06.2023.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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