Abstract
Blockchain has evolved into a platform for decentralized applications, with beneficial properties like high integrity, transparency, and resilience against censorship and tampering. However, blockchains are closed-world systems which do not have access to external state. To overcome this limitation, oracles have been introduced in various forms and for different purposes. However so far common oracle best practices have not been dissected, classified, and studied in their fundamental aspects. In this paper, we address this gap by studying foundational blockchain oracle patterns in two foundational dimensions characterising the oracles: (i) the data flow direction, i.e., inbound and outbound data flow, from the viewpoint of the blockchain; and (ii) the initiator of the data flow, i.e., whether it is push or pull-based communication. We provide a structured description of the four patterns in detail, and discuss an implementation of these patterns based on use cases. On this basis we conduct a quantitative analysis, which results in the insight that the four different patterns are characterized by distinct performance and costs profiles.
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Notes
- 1.
The source code can be found at https://github.com/MacOS/blockchain-oracles-data-collection.
- 2.
Orisi: https://orisi.org/. Provable Things: https://provable.xyz. TinyOracle: https://github.com/axic/tinyoracle. ChainLink: https://chain.link/. All links accessed on June 7, 2020.
- 3.
Web3: https://github.com/ethereum/web3.py. Python: https://www.python.org/. QR-Code-Scanner: https://github.com/code-kotis/qr-code-scanner. All links accessed on June 7, 2020.
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Acknowledgements
The authors want to thank the Research Institute for Computational Methods at WU Vienna for supplying computational resources. E. Castelló Ferrer acknowledges support from the Marie Skłodowska-Curie actions (EU project BROS–DLV-751615). The work of C. Di Ciccio was partly supported by MIUR under grant “Dipartimenti di eccellenza 2018-2022” of the Department of Computer Science at Sapienza University of Rome.
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Mühlberger, R. et al. (2020). Foundational Oracle Patterns: Connecting Blockchain to the Off-Chain World. In: Asatiani, A., et al. Business Process Management: Blockchain and Robotic Process Automation Forum. BPM 2020. Lecture Notes in Business Information Processing, vol 393. Springer, Cham. https://doi.org/10.1007/978-3-030-58779-6_3
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