Performance Evaluation of E-Voting Based on Hyperledger Fabric Blockchain Platform
Permissioned blockchain platforms have become more prevalent in a wide range of applications. These, such as hyperledger fabric platforms, are sensitive to latency and throughput. In this work, the E-voting case study adopts a hyperledger fabric platform where performance evaluation has been studied...
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Veröffentlicht in: | Revue d'Intelligence Artificielle 2022-08, Vol.36 (4), p.581-587 |
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description | Permissioned blockchain platforms have become more prevalent in a wide range of applications. These, such as hyperledger fabric platforms, are sensitive to latency and throughput. In this work, the E-voting case study adopts a hyperledger fabric platform where performance evaluation has been studied in terms of scalability, latency, throughput, CPU usage, and memory allocation. Three scenarios were performed with varying transaction rates, block size, and organizations. Another two scenarios were performed, first with varying block timeout and second, measuring the impact of CPUs and memory allocation on the proposed fabric’s entities (peers, orderer, couchDB, chaincode, etc.). The result shows that an increase in block size will significantly affect metrics such as latency and throughput. Good results were obtained with high transaction send rates on large block size. Similarly, low performance is obtained using a small block size with increased send rates. Also, it was noticed that increasing the number of organizations will increase latency and decrease the throughput. Therefore, in applications with a large number of concurrent transactions, to maintain high throughput, block timeouts and block size should be large. On The other hand, the number of CPUs and amount of memory allocation would impact hyperledger fabric performance. |
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Therefore, in applications with a large number of concurrent transactions, to maintain high throughput, block timeouts and block size should be large. On The other hand, the number of CPUs and amount of memory allocation would impact hyperledger fabric performance.</description><identifier>ISSN: 0992-499X</identifier><identifier>EISSN: 1958-5748</identifier><identifier>DOI: 10.18280/ria.360410</identifier><language>eng</language><publisher>Edmonton: International Information and Engineering Technology Association (IIETA)</publisher><subject>Access control ; Algorithms ; Blockchain ; Case studies ; Cryptography ; Design ; Digital currencies ; Distributed ledger ; Memory management ; Online voting ; Organizations ; Performance evaluation ; Platforms ; Privacy</subject><ispartof>Revue d'Intelligence Artificielle, 2022-08, Vol.36 (4), p.581-587</ispartof><rights>2022. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). 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subjects | Access control Algorithms Blockchain Case studies Cryptography Design Digital currencies Distributed ledger Memory management Online voting Organizations Performance evaluation Platforms Privacy |
title | Performance Evaluation of E-Voting Based on Hyperledger Fabric Blockchain Platform |
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