The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
BLOCKBENCH: A Framework for Analyzing Private Blockchains
Abstract
Blockchain technologies are taking the world by storm. Public blockchains, such as Bitcoin and Ethereum, enable secure peer-to-peer applications like crypto-currency or smart contracts. Their security and performance are well studied. This paper concerns recent private blockchain systems designed with stronger security (trust) assumption and performance requirement. These systems target and aim to disrupt applications which have so far been implemented on top of database systems, for example banking, finance and trading applications. Multiple platforms for private blockchains are being actively developed and fine tuned. However, there is a clear lack of a systematic framework with which different systems can be analyzed and compared against each other. Such a framework can be used to assess blockchains' viability as another distributed data processing platform, while helping developers to identify bottlenecks and accordingly improve their platforms.
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Citations
Cites
Douceur, J. R. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45748-8_24 · Cited by 4,419
The Quest for Scalable Blockchain Fabric: Proof-of-Work vs. BFT Replication
Vukolić, M. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-39028-4_9 · Cited by 1,051 · cited 1×
“Blockchain systems, on the other hand, employ a spectrum of Byzantine fault-tolerant protocols [50].”
BackgroundSerializable isolation for snapshot databases
Cahill, M. J., Röhm, U., & Fekete, A. D. (2008) · Proceedings of the 2008 ACM SIGMOD international conference on Management of data · doi:10.1145/1376616.1376690 · Cited by 120
Cited by
Blockchain for internet of things: a survey
Dai, H.-N., Zheng, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2920987 · Cited by 1,246
Blockchain for AI: review and open research challenges
Salah, K., Rehman, M. H. U., Nizamuddin, N., & Al-Fuqaha, A. (2019) · IEEE Access · doi:10.1109/access.2018.2890507 · Cited by 1,001
Performance Benchmarking and Optimizing Hyperledger Fabric Blockchain Platform
Thakkar, P., Nathan, S., & Viswanathan, B. (2018) · 2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) · doi:10.1109/mascots.2018.00034 · Cited by 632
Security services using blockchains: a state of the art survey
Salman, T., Zolanvari, M., Erbad, A., Jain, R., & Samaka, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2863956 · Cited by 502
Blockchain's adoption in iot: the challenges, and a way forward
Makhdoom, I., Abolhasan, M., Abbas, H., & Ni, W. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.10.019 · Cited by 501
Metadata
- Authors
- Dinh, T. T. A., Wang, J., Chen, G., Liu, R., Ooi, B. C., & Tan, K.-L.
- Venue
- Proceedings of the 2017 ACM International Conference on Management of Data
- Publisher
- ACM
- Published
- 2017-05-09
- Pages
- 1085-1100
- OpenAlex
- W2604122668
- Cited by
- 814
- References
- 3
- FWCI
- 69.04
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Dinh, T. T. A., Wang, J., Chen, G., Liu, R., Ooi, B. C., & Tan, K.-L. (2017). BLOCKBENCH: A Framework for Analyzing Private Blockchains. Proceedings of the 2017 ACM International Conference on Management of Data. https://doi.org/10.1145/3035918.3064033
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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