Evaluation of an Actor Model-based Consensus Algorithm on Neo Blockchain

Suliyanti, Widya N. and Salman, Muhammad and Sari, Riri Fitri (2021) Evaluation of an Actor Model-based Consensus Algorithm on Neo Blockchain. 2021 31st International Telecommunication Networks and Applications Conference, ITNAC 2021. pp. 60-64.

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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.

Item Type: Article
Additional Information: Date of Conference: 24-26 November 2021 Conference Location: Sydney, Australia
Uncontrolled Keywords: Neo, dBFT, Akka.NET, consensus algorithm, actor model
Subjects: Bidang Keilmuan > Algoritma
Bidang Keilmuan > Blockchain Technology
Bidang Keilmuan > Computer Science
Jurnal
Divisions: Fakultas Telematika Energi > S1 Teknik Informatika
Depositing User: Yudha Formanto
Date Deposited: 11 May 2026 03:25
Last Modified: 11 May 2026 03:25
URI: https://repository.itpln.ac.id/id/eprint/6681

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