Workflow Management on BFT Blockchains
Zusammenfassung
Blockchains have been proposed as infrastructure technology for a wide variety of applications. They provide an immutable record of transactions, making them useful when business actors do not trust each other, and their distributed nature makes them suitable for inter-organizational applications. However, widely-used proof-of-work based blockchains are computationally inefficient and do not provide final consensus, although they scale well to large networks. In contrast, blockchains built around Byzantine Fault Tolerance (BFT) consensus algorithms are more efficient and provide immediate and final consensus, but do not scale well to large networks. We argue that this makes them well-suited for workflow management applications, which typically include no more than a few dozen participants. This paper is motivated by a use case in the resource extraction industry. We develop an architecture for a BFT blockchain based workflow management system (WfMS) and present a prototype implementation. We discuss its advantages and limitations with respect to proof-of-work based systems and provide an outlook to future research.
- Vollständige Referenz
- BibTeX
Evermann, J. & Kim, H.,
(2020).
Workflow Management on BFT Blockchains.
Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 15, Nr. 14.
Berlin:
Gesellschaft für Informatik e.V..
(S. 1-22).
DOI: 10.18417/emisa.15.14
@article{mci/Evermann2020,
author = {Evermann, Joerg AND Kim, Henry},
title = {Workflow Management on BFT Blockchains},
journal = {Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling},
volume = {15},
number = {14},
year = {2020},
,
pages = { 1-22 } ,
doi = { 10.18417/emisa.15.14 }
}
author = {Evermann, Joerg AND Kim, Henry},
title = {Workflow Management on BFT Blockchains},
journal = {Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling},
volume = {15},
number = {14},
year = {2020},
,
pages = { 1-22 } ,
doi = { 10.18417/emisa.15.14 }
}
| Dateien | Groesse | Format | Anzeige | |
|---|---|---|---|---|
| emisaj_15_14.pdf | 378.8Kb | Öffnen |
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