The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Impossibility of distributed consensus with one faulty process
Open accessAbstract
The consensus problem involves an asynchronous system of processes, some of which may be unreliable. The problem is for the reliable processes to agree on a binary value. In this paper, it is shown that every protocol for this problem has the possibility of nontermination, even with only one faulty process. By way of contrast, solutions are known for the synchronous case, the “Byzantine Generals” problem.
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
The Byzantine generals problem
Lamport, L., Shostak, R., & Pease, M. (1982) · ACM Transactions on Programming Languages and Systems · doi:10.1145/357172.357176 · Cited by 6,023
Cited by
Practical byzantine fault tolerance and proactive recovery
Castro, M., & Liskov, B. (2002) · ACM Transactions on Computer Systems · doi:10.1145/571637.571640 · Cited by 2,475
Implementing fault-tolerant services using the state machine approach: a tutorial
Schneider, F. B. (1990) · ACM Computing Surveys · doi:10.1145/98163.98167 · Cited by 2,387
Bitcoin and beyond: a technical survey on decentralized digital currencies
Tschorsch, F., & Scheuermann, B. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2535718 · Cited by 1,690
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
“…to standard, eventually synchronous [21] BFT protocols such as PBFT. Specifically, randomized BFT protocols circumvent the FLP consensus impossibility result [25] by guaranteeing correctness with very high probability (i.e., always, except with negligible probability), rather than deterministically.”
Applications of Blockchains in the Internet of Things: A Comprehensive Survey
Ali, M. S., Vecchio, M., Pincheira, M., Dolui, K., Antonelli, F., & Rehmani, M. H. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2886932 · Cited by 855
Metadata
- Authors
- Fischer, M. J., Lynch, N. A., & Paterson, M. S.
- Venue
- Journal of the ACM
- Published
- 1985-04
- Volume
- 32
- Issue
- 2
- Pages
- 374-382
- ISSN
- 0004-5411 (ISSN-L)
- 1557-735X
- OpenAlex
- W2035362408
- Cited by
- 4,579
- References
- 1
- FWCI
- 25.38
- Type
- journal article
- 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
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.
