HiCoCS: High Concurrency Cross-Sharding on Permissioned Blockchains

As the foundation of the Web3 trust system, blockchain technology faces increasing demands for scalability. Sharding emerges as a promising solution, but it struggles to handle highly concurrent cross-shard transactions (CSTxs), primarily due to simultaneous ledger operations on the same account. Hyperledger Fabric, a permissioned blockchain, employs multi-version concurrency control for parallel processing. Existing solutions use channels and intermediaries to achieve cross-sharding in Hyperledger Fabric. However, the conflict problem caused by highly concurrent CSTxs has not been adequately resolved. To fill this gap, we propose HiCoCS, a high concurrency cross-shard scheme for permissioned blockchains. HiCoCS creates a unique virtual sub-broker for each CSTx by introducing a composite key structure, enabling conflict-free concurrent transaction processing while reducing resource overhead. The challenge lies in managing large numbers of composite keys and mitigating intermediary privacy risks. HiCoCS utilizes virtual sub-brokers to receive and process CSTxs concurrently while maintaining a transaction pool. Batch processing is employed to merge multiple CSTxs in the pool, improving efficiency. We explore composite key reuse to reduce the number of virtual sub-brokers and lower system overhead. Privacy preservation is enhanced using homomorphic encryption. Evaluations show that HiCoCS improves cross-shard transaction throughput by 3.5-20.2 times compared to the baselines.

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Publication Details

Journal
IEEE Transactions on Computers
Published
2025-04-04
DOI
https://doi.org/10.1109/tc.2025.3558001
Citations
6
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
19.48
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article

HiCoCS: High Concurrency Cross-Sharding on Permissioned Blockchains

Zhen Wan, Yunfeng Zhang, Yulong Shen, Xuewen Dong et al.
6 citations
IEEE Transactions on Computers
Blockchain Technology Applications and Security
19.48
article

HiCoCS: High Concurrency Cross-Sharding on Permissioned Blockchains

Zhen Wan, Yunfeng Zhang, Yulong Shen, Xuewen Dong, Di Lu, Lingxiao Yang
article en
6 citations

Abstract

As the foundation of the Web3 trust system, blockchain technology faces increasing demands for scalability. Sharding emerges as a promising solution, but it struggles to handle highly concurrent cross-shard transactions (CSTxs), primarily due to simultaneous ledger operations on the same account. Hyperledger Fabric, a permissioned blockchain, employs multi-version concurrency control for parallel processing. Existing solutions use channels and intermediaries to achieve cross-sharding in Hyperledger Fabric. However, the conflict problem caused by highly concurrent CSTxs has not been adequately resolved. To fill this gap, we propose HiCoCS, a high concurrency cross-shard scheme for permissioned blockchains. HiCoCS creates a unique virtual sub-broker for each CSTx by introducing a composite key structure, enabling conflict-free concurrent transaction processing while reducing resource overhead. The challenge lies in managing large numbers of composite keys and mitigating intermediary privacy risks. HiCoCS utilizes virtual sub-brokers to receive and process CSTxs concurrently while maintaining a transaction pool. Batch processing is employed to merge multiple CSTxs in the pool, improving efficiency. We explore composite key reuse to reduce the number of virtual sub-brokers and lower system overhead. Privacy preservation is enhanced using homomorphic encryption. Evaluations show that HiCoCS improves cross-shard transaction throughput by 3.5-20.2 times compared to the baselines.

IEEE Transactions on ComputersVol. 74(7)
Xidian University (CN), Zhejiang Lab (CN), Jiangxi University of Finance and Economics (CN)
Openalex Percentile: Top 1%
Blockchain Technology Applications and Security
19.48
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HiCoCS: High Concurrency Cross-Sharding on Permissioned Blockchains — Zhen Wan, Yunfeng Zhang, et al. · IEEE Transactions on Computers (2025) | TGRS Research Map | TGRS