CoChain: High Concurrency Blockchain Sharding via Consensus on Consensus
Mingzhe Li, You Lin, Jin Zhang, Wei Wang
Abstract
Sharding is an effective technique to improve the scalability of blockchain. It splits nodes into multiple groups so that they can process transactions in parallel. To achieve higher parallelism and concurrency at large scales, it is desirable to maintain a large number of small shards. However, simply configuring small shards easily results in a higher fraction of malicious nodes inside shards, causing shard corruption and compromising system security. Existing sharding techniques hence demand large shards, at the expense of limited concurrency. To address this limitation, we propose CoChain: a blockchain sharding system that can securely configure small shards for enhanced concurrency. CoChain allows some shards to be corrupted. For security, each shard is monitored by multiple other shards. The latter reach a cross-shard Consensus on the Consensus results of their monitored shard. Once a corrupted shard is found, its subsequent consensus will be taken over by another shard, hence recovering the system. Via Consensus on Consensus, CoChain allows the existence of shards with more fraction of malicious nodes (<2/3) while securing the system, thus reducing the shard size safely. We implement CoChain based on Harmony and conduct extensive experiments. Compared with Harmony, CoChain achieves 35x throughput gain with 6,000+ nodes.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 58f6a02c-de00-4840-a3fd-ed4eacaf0704Cited by top-tier papers5
- SharDAG: Scaling DAG-Based Blockchains Via Adaptive ShardingFeng Cheng, Jiang Xiao, Cunyang Liu, Shijie Zhang et al.ICDE 2024 · 20 citations
- Justitia: An Incentive Mechanism Towards the Fairness of Cross-Shard TransactionsJian Zheng, Huawei Huang, Yinqiu Liu, Taotao Li et al.INFOCOM 2025 · 10 citations
- Optimal Sharding for Scalable Blockchains with Deconstructed SMRJianting Zhang, Zhongtang Luo, Raghavendra Ramesh, Aniket KateVLDB 2025 · 7 citations
- Cross-Consensus Reliable Broadcast and its ApplicationsYue Huang, Xin Wang, Haibin Zhang, Sisi DuanNDSS 2026 · 2 citations
- Logos: Robust Sharding Blockchain With Fast Processing and Optimal Cross-Shard OverheadYizhong Liu, Boyu Zhao, Yuxuan Hu, Haojun Tan et al.USENIX Security 2026
Builds on14
- A Secure Sharding Protocol For Open BlockchainsLoi Luu, Viswesh Narayanan, Chaodong Zheng, Kunal Baweja et al.CCS 2016 · 1,392 citations
- OmniLedger: A Secure, Scale-Out, Decentralized Ledger via ShardingEleftherios Kokoris-Kogias, Philipp Jovanovic, Linus Gasser, Nicolas Gailly et al.S&P 2018 · 1,145 citations
- RapidChain: Scaling Blockchain via Full ShardingMahdi Zamani, Mahnush Movahedi, Mariana RaykovaCCS 2018 · 1,084 citations
- Pyramid: A Layered Sharding Blockchain SystemZicong Hong, Song Guo, Peng Li, Wuhui ChenINFOCOM 2021 · 193 citations
- SharPer: Sharding Permissioned Blockchains Over Network ClustersMohammad Javad Amiri, Divyakant Agrawal, Amr El AbbadiSIGMOD 2021 · 181 citations
Related papers
- GearBox: Optimal-size Shard Committees by Leveraging the Safety-Liveness DichotomyBernardo David, Bernardo Magri, Christian Matt, Jesper Buus Nielsen et al.CCS 2022 · 25 citations
- Realizing Corrupted-Shard Tolerance: A Sharding Blockchain with Preserving Global ResilienceYizhong Liu, Andi Liu, Zhuocheng Pan, Yuxuan Hu et al.CCS 2025 · 1 citation
- Manifoldchain: Maximizing Blockchain Throughput via Bandwidth-Clustered ShardingChunjiang Che, Songze Li, Xuechao WangNDSS 2025
- Concordia: Enabling Low-Conflict Distributed Transaction Scheduling in Sharding Blockchain via Cooperative PerceptionYanxiu Liu, Linpeng Jia, Xiaohu Yang, Zhongcheng Li et al.WWW 2026
- Poros: Secure and Highly Parallel Sharding Blockchain with Optimized Cross-Shard Transaction ProcessingZhuocheng Pan, Jianwei Liu, Andi Liu, Yuxuan Hu et al.CCS 2026
