TY - GEN
T1 - Event-Processing Model for Smart Contracts with Oracle and EEG
AU - Jiang, Xiaofang
AU - Tsai, Wei Tek
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In blockchain (BC) systems, smart contracts (SCs) often use a transaction-driven execution model. However, real-world financial applications are complex, and often driven by events instead. This paper presents an intelligent event-driven framework to automatically trigger SC execution by collecting event information, and classifying these events, and analyzing various relationship among these events, and use a service-model for SCs to register interested events so that when the concerned event happened, they can be automatically triggered. This paper uses oracle machines (OMs) to collect event information, EEG (Event Evolution Graph) to analyze relationship among events. This paper then uses multi-layer perceptron model to evaluate the design. This paper proposes a new method to solve the scalability and performance challenges in the SC ecosystem, which shows that the event-driven execution model would be more intelligent.
AB - In blockchain (BC) systems, smart contracts (SCs) often use a transaction-driven execution model. However, real-world financial applications are complex, and often driven by events instead. This paper presents an intelligent event-driven framework to automatically trigger SC execution by collecting event information, and classifying these events, and analyzing various relationship among these events, and use a service-model for SCs to register interested events so that when the concerned event happened, they can be automatically triggered. This paper uses oracle machines (OMs) to collect event information, EEG (Event Evolution Graph) to analyze relationship among events. This paper then uses multi-layer perceptron model to evaluate the design. This paper proposes a new method to solve the scalability and performance challenges in the SC ecosystem, which shows that the event-driven execution model would be more intelligent.
KW - Event Evolution Graph
KW - event-driven model
KW - perceptron model
KW - smart contracts
UR - https://www.scopus.com/pages/publications/85143772833
U2 - 10.1109/MLCCIM55934.2022.00078
DO - 10.1109/MLCCIM55934.2022.00078
M3 - 会议稿件
AN - SCOPUS:85143772833
T3 - Proceedings - 2022 International Conference on Machine Learning, Cloud Computing and Intelligent Mining, MLCCIM 2022
SP - 425
EP - 430
BT - Proceedings - 2022 International Conference on Machine Learning, Cloud Computing and Intelligent Mining, MLCCIM 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Machine Learning, Cloud Computing and Intelligent Mining, MLCCIM 2022
Y2 - 5 August 2022 through 7 August 2022
ER -