@inproceedings{3404cf9a15824e14be9bc081b31720af,
title = "Evaluation of an Actor Model-based Consensus Algorithm on Neo Blockchain",
abstract = "Neo Blockchain is a permissioned blockchain that adopts Practical Byzantine Fault Tolerance variant consensus algorithm called delegated Byzantine Fault Tolerance (dBFT). This algorithm is implemented using an Actor Model-based consensus algorithm, namely Akka.NET framework.In this paper, dBFT consensus algorithm among four nodes is simulated - one primary and three backup nodes, that communicates using Akka.NET framework on a private chain on Neo Blockchain. The framework is used to evaluate the inner workings of the algorithm.The simulation resulted in the Akka.NET framework supporting multi-phases of dBFT consensus algorithm and parallel execution of tasks. In addition, it offers the asynchronous feature. Thus, it reduces the number of locks used and reduces deadlocks to potentially improve blockchain performance and scalability. ",
keywords = "actor model, Akka.NET, consensus algorithm, dBFT, Neo",
author = "{Nita Suliyanti}, Widya and Muhammad Salman and {Fitri Sari}, Riri",
note = "Funding Information: ACKNOWLEDGMENT We would like to thank Ministry of Research and Higher Education of Republic of Indonesia for financial support for this research under the PTUPT Grant number NKB-289/UN2.RST/HKP.05.00/2021. Publisher Copyright: {\textcopyright} 2021 IEEE.; 31st International Telecommunication Networks and Applications Conference, ITNAC 2021 ; Conference date: 24-11-2021 Through 26-11-2021",
year = "2021",
doi = "10.1109/ITNAC53136.2021.9652155",
language = "English",
series = "2021 31st International Telecommunication Networks and Applications Conference, ITNAC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "60--64",
booktitle = "2021 31st International Telecommunication Networks and Applications Conference, ITNAC 2021",
address = "United States",
}