A Framework for Evaluating BFT
| dc.contributor.author | Clavin, James R. | |
| dc.contributor.author | Huang, Yue | |
| dc.contributor.author | Wang, Xin | |
| dc.contributor.author | Prakash, Pradeep M. | |
| dc.contributor.author | Duan, Sisi | |
| dc.contributor.author | Wan, Jianwu | |
| dc.contributor.author | Peisert, Sean | |
| dc.date.accessioned | 2022-09-26T15:44:49Z | |
| dc.date.available | 2022-09-26T15:44:49Z | |
| dc.date.issued | 2022-05-03 | |
| dc.description | 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS), 14-16 December 2021, Beijing, China | en_US |
| dc.description.abstract | We present a framework for evaluating the performance of Byzantine fault-tolerant (BFT) protocols theoretically. Our motivation is to identify protocols suitable for a particular power grid application. In this application, replicas are located in a LAN network where latency is the priority. To fully understand the performance of BFT, we provide a generic approach that quantifies the performance of BFT protocols based on the number of cryptographic operations under five different scenarios (in the presence of failures and without failures). We present the performance of three representative BFT protocols: PBFT, Prime, and SBFT. To validate our framework, we also evaluate the protocols experimentally in the CloudLab testbed. Our experimental results match the findings predicted by the framework. Although a variety of factors may affect the performance of the protocols, our framework can be used as a valuable reference to understand the performance of BFT. | en_US |
| dc.description.sponsorship | This research was supported in part by the Director, Cybersecurity, Energy Security, and Emergency Response, Cybersecurity for Energy Delivery Systems program, of the U.S. Department of Energy, under the Grid Modernization Initiative under contract DE-AC02-05CH11231. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the sponsors of this work. | en_US |
| dc.description.uri | https://ieeexplore.ieee.org/document/9763687 | en_US |
| dc.format.extent | 8 pages | en_US |
| dc.genre | conference papers and proceedings | en_US |
| dc.identifier | doi:10.13016/m29fkh-ot7i | |
| dc.identifier.citation | J. R. Clavin et al., "A Framework for Evaluating BFT," 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS), 2021, pp. 193-200, doi: 10.1109/ICPADS53394.2021.00030. | en_US |
| dc.identifier.uri | https://doi.org/10.1109/ICPADS53394.2021.00030 | |
| dc.identifier.uri | http://hdl.handle.net/11603/25882 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Information Systems Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | en_US |
| dc.rights | Public Domain Mark 1.0 | * |
| dc.rights.uri | http://creativecommons.org/publicdomain/mark/1.0/ | * |
| dc.subject | UMBC Big Data Analytics Lab | en_US |
| dc.title | A Framework for Evaluating BFT | en_US |
| dc.type | Text | en_US |
| dcterms.creator | https://orcid.org/0000-0002-9933-1170 | en_US |