Performance Analysis of a Hyperledger Iroha Blockchain Framework Used in the UK Livestock Industry

Konstantinos Ntolkeras, Hossein Sharif, Soroush Dehghan Salmasi, William Knottenbelt

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Citations (Scopus)

    Abstract

    This investigation focuses on the performance analysis of one of the most nascent Blockchain frameworks, Hyperledger Iroha. This paper evaluates the performance of the Hyperledger Iroha framework based on three parameters: (a) total requests per seconds (RPS) over time; (b) response times in milliseconds over time; and (c) number of users in the network over time. The results indicate that the integration of Hyperledger Iroha with a major livestock management and trading platform in the UK, can support at least 200 participants with no errors in the network. Additionally, the total requests per second can reach as high as 40.6, and the response times are in the order of a fraction of a second. This research and its results can assist scholars and practitioners regarding selection of an ideal Blockchain framework for their problem setting.

    Original languageEnglish
    Title of host publicationProceedings - 2021 IEEE International Conference on Blockchain, Blockchain 2021
    EditorsYang Xiang, Ziyuan Wang, Honggang Wang, Valtteri Niemi
    Place of PublicationPiscataway, US
    PublisherIEEE
    Pages456-461
    Number of pages6
    ISBN (Electronic)9781665417600
    ISBN (Print)9781665417617
    DOIs
    Publication statusPublished - 6 Dec 2021
    Event4th IEEE International Conference on Blockchain, Blockchain 2021 - Virtual, Melbourne, Australia
    Duration: 6 Dec 20218 Dec 2021

    Conference

    Conference4th IEEE International Conference on Blockchain, Blockchain 2021
    Country/TerritoryAustralia
    CityVirtual, Melbourne
    Period6/12/218/12/21

    Keywords

    • Blockchain
    • Hyperledger Iroha
    • Livestock Industry
    • Response Time
    • Scalability
    • Supply Chain Management

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