The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Towards Scaling Blockchain Systems via Sharding
Open accessAbstract
Existing blockchain systems scale poorly because of their distributed consensus protocols. Current attempts at improving blockchain scalability are limited to cryptocurrency. Scaling blockchain systems under general workloads (i.e., non-cryptocurrency applications) remains an open question. This work takes a principled approach to apply sharding to blockchain systems in order to improve their transaction throughput at scale. This is challenging, however, due to the fundamental difference in failure models between databases and blockchain. To achieve our goal, we first enhance the performance of Byzantine consensus protocols, improving individual shards' throughput. Next, we design an efficient shard formation protocol that securely assigns nodes into shards. We rely on trusted hardware, namely Intel SGX, to achieve high performance for both consensus and shard formation protocol. Third, we design a general distributed transaction protocol that ensures safety and liveness even when transaction coordinators are malicious. Finally, we conduct an extensive evaluation of our design both on a local cluster and on Google Cloud Platform. The results show that our consensus and shard formation protocols outperform state-of-the-art solutions at scale. More importantly, our sharded blockchain reaches a high throughput that can handle Visa-level workloads, and is the largest ever reported in a realistic environment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bitcoin: A Peer-to-Peer Electronic Cash System
Wright, C. S. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.3440802 · Cited by 13,922
Practical Byzantine fault tolerance
Castro, M., & Liskov, B. H. (1999) · Operating Systems Design and Implementation · doi:10.5555/296806.296824 · Cited by 3,205
In search of an understandable consensus algorithm
Ongaro, D., & Ousterhout, J. K. (2014) · Cited by 1,909
On the Security and Performance of Proof of Work Blockchains
Gervais, A., Karame, G. O., Wüst, K., Glykantzis, V., Ritzdorf, H., & Capkun, S. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/2976749.2978341 · Cited by 1,646
A Secure Sharding Protocol For Open Blockchains
Luu, L., Narayanan, V., Zheng, C., Baweja, K., Gilbert, S., & Saxena, P. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/2976749.2978389 · Cited by 1,428
Lamport, L. (2001) · Cited by 1,325
Database Systems: The Complete Book
García-Molina, H., Ullman, J. D., & Widom, J. (2001) · Cited by 1,266
Untangling Blockchain: A Data Processing View of Blockchain Systems
Dinh, T. T. A., Liu, R., Zhang, M., Chen, G., Ooi, B. C., & Wang, J. (2018) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2017.2781227 · Cited by 1,186
Self-citationRapidChain: Scaling Blockchain via Full Sharding
Zamani, M., Movahedi, M., & Raykova, M. (2018) · Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3243734.3243853 · Cited by 1,121
Innovative instructions and software model for isolated execution
McKeen, F., Alexandrovich, I., Berenzon, A., Rozas, C. V., Shafi, H., Shanbhogue, V., & Savagaonkar, U. R. (2013) · Proceedings of the 2nd International Workshop on Hardware and Architectural Support for Security and Privacy · doi:10.1145/2487726.2488368 · Cited by 1,095
Cited by
A Survey on Blockchain for Information Systems Management and Security
Berdik, D., Otoum, S., Schmidt, N., Porter, D., & Jararweh, Y. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2020.102397 · Cited by 580
Scaling Blockchains: A Comprehensive Survey
Hafid, A., Hafid, A. S., & Samih, M. (2020) · IEEE Access · doi:10.1109/access.2020.3007251 · Cited by 328
Wu, Y., Dai, H.-N., & Wang, H. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3025916 · Cited by 323
Performance Evaluation of Blockchain Systems: A Systematic Survey
Fan, C., Ghaemi, S., Khazaei, H., & Musilek, P. (2020) · IEEE Access · doi:10.1109/access.2020.3006078 · Cited by 294
Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy
Alsamhi, S. H., Almalki, F. A., Afghah, F., Hawbani, A., Shvetsov, A. V., Lee, B., & Song, H. (2022) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2021.3132561 · Cited by 139
Metadata
- Authors
- Dang, H., Dinh, T. T. A., Loghin, D., Chang, E.-C., Lin, Q., & Ooi, B. C.
- Venue
- Proceedings of the 2019 International Conference on Management of Data
- Publisher
- ACM
- Published
- 2019-06-25
- Pages
- 123-140
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2944812228
- Cited by
- 559
- References
- 30
- FWCI
- 48.07
- Type
- conference paper
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Towards Scaling Blockchain Systems via Sharding. https://app.cochat.ai/papers/10.1145/3299869.3319889
- The paper
- Dang, H., Dinh, T. T. A., Loghin, D., Chang, E.-C., Lin, Q., & Ooi, B. C. (2019). Towards Scaling Blockchain Systems via Sharding. Proceedings of the 2019 International Conference on Management of Data. https://doi.org/10.1145/3299869.3319889
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
