Comparative Performance Analysis of Original AuRa and Improved AuRa Consensus Algorithms in Chain Hammer Digital Certificate Simulation

The blockchain functions as a distributed database, where data is securely stored across multiple servers and network nodes. It exists in various forms, with Bitcoin, Ethereum, and Hyperledger being among the most prominent examples. To ensure the integrity and security of transactions within a blockchain network, a consensus algorithm is employed to establish agreement among participating nodes. Several types of consensus algorithms exist, each offering distinct features and operational mechanisms. One such algorithm is Authority Round (here defined as AuRa_ori), a member of the Proof-of-Authority (PoA) family supported by Parity clients. Previous studies have highlighted several vulnerabilities and performance limitations in AuRa_ori, particularly concerning transaction speed per second (TPS) and transaction throughput per second (TGS). This study specifically investigates the original AuRa algorithm alongside an improved version, termed AuRa_v1. In AuRa_v1, the transaction process is structured into four key phases: 1) leader assignment, 2) block proposal, 3) agreement, and 4) block commitment. However, inconsistencies and inefficiencies have been identified within certain phases of the original AuRa_ori, particularly during the leader assignment and agreement stages. In response, this study proposes an improved approach through AuRa_v1 to address these vulnerabilities. A detailed analysis is conducted to evaluate the impact of these vulnerabilities on TPS, TGS, and epoch time, followed by a performance comparison between AuRa_ori and AuRa_v1. Experimental results demonstrate that AuRa_v1 effectively resolves the identified performance issues, achieving a significant improvement. Specifically, AuRa_v1 records a 21.65% increase in both TPS and TGS compared to AuRa_ori, validating the effectiveness of the proposed enhancements.

Authors

Publication Details

Journal
International Journal of Advanced Computer Science and Applications
Published
2025-01-01
DOI
https://doi.org/10.14569/ijacsa.2025.0161025
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparative Performance Analysis of Original AuRa and Improved AuRa Consensus Algorithms in Chain Hammer Digital Certificate Simulation

Mustafa Man, Evizal Abdul Kadir, Rizal Arifin, Wan Azelee Wan Abu Bakar
International Journal of Advanced Computer Science and Applications
Blockchain Technology Applications and Security
article

Comparative Performance Analysis of Original AuRa and Improved AuRa Consensus Algorithms in Chain Hammer Digital Certificate Simulation

Mustafa Man, Evizal Abdul Kadir, Rizal Arifin, Wan Azelee Wan Abu Bakar
article en

Abstract

The blockchain functions as a distributed database, where data is securely stored across multiple servers and network nodes. It exists in various forms, with Bitcoin, Ethereum, and Hyperledger being among the most prominent examples. To ensure the integrity and security of transactions within a blockchain network, a consensus algorithm is employed to establish agreement among participating nodes. Several types of consensus algorithms exist, each offering distinct features and operational mechanisms. One such algorithm is Authority Round (here defined as AuRa_ori), a member of the Proof-of-Authority (PoA) family supported by Parity clients. Previous studies have highlighted several vulnerabilities and performance limitations in AuRa_ori, particularly concerning transaction speed per second (TPS) and transaction throughput per second (TGS). This study specifically investigates the original AuRa algorithm alongside an improved version, termed AuRa_v1. In AuRa_v1, the transaction process is structured into four key phases: 1) leader assignment, 2) block proposal, 3) agreement, and 4) block commitment. However, inconsistencies and inefficiencies have been identified within certain phases of the original AuRa_ori, particularly during the leader assignment and agreement stages. In response, this study proposes an improved approach through AuRa_v1 to address these vulnerabilities. A detailed analysis is conducted to evaluate the impact of these vulnerabilities on TPS, TGS, and epoch time, followed by a performance comparison between AuRa_ori and AuRa_v1. Experimental results demonstrate that AuRa_v1 effectively resolves the identified performance issues, achieving a significant improvement. Specifically, AuRa_v1 records a 21.65% increase in both TPS and TGS compared to AuRa_ori, validating the effectiveness of the proposed enhancements.

International Journal of Advanced Computer Science and ApplicationsVol. 16(10)
Universitas Islam Riau, Universiti Sultan Zainal Abidin, Center for Research Excellence and Incubation Management, Universiti Sultan Zainal Abidin
Openalex Percentile: Top 54%
Blockchain Technology Applications and Security
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