IDEAS home Printed from https://ideas.repec.org/a/adm/journl/v13y2024i11p6-16.html
   My bibliography  Save this article

Enhancing Scalability and Load Balancing through Sharding in Consortium Blockchain-Based Agri-Food Supply Chain System

Author

Listed:
  • Xingjian Tian
  • Guangke Qi

Abstract

Agri-food supply chain is undergoing a transformation towards increasing intelligence and automation with the integration of blockchain technology, particularly consortium blockchains, which are more suitable for realistic applications by offering member management, privacy protection, data auditability and traceability. Despite these advantages, scalability and system performance remain as the bottlenecks. To address this, sharding technology has been adopted but typical sharding protocols such as Relay and Broker are mostly designed for public blockchains and do not harness the potential of consortium blockchains. For that, we designed an agri-food supply chain system model and proposed a new sharding partition algorithm: Weighted and Constrained Label Propagation Algorithm (WCLPA), which brings in the factor of consortium's organization-based weighting accordingly and integrates with BrokerChain, a cutting-edge sharding protocol. Then we tested using a transaction driven simulator, and the evaluation results indicate that our scheme excels in a spectrum of metrics including TPS, confirmation latency, load balancing of transactions and inter-shard transaction ratio. This research signifies a future promising stride towards optimizing consortium blockchain performance in the agri-food supply chain domain through sharding.

Suggested Citation

  • Xingjian Tian & Guangke Qi, 2024. "Enhancing Scalability and Load Balancing through Sharding in Consortium Blockchain-Based Agri-Food Supply Chain System," International Journal of Sciences, Office ijSciences, vol. 13(11), pages 6-16, November.
    • Handle: RePEc:adm:journl:v:13:y:2024:i:11:p:6-16
    DOI: 10.18483/ijSci.2808
    as

    Download full text from publisher

    File URL: https://www.ijsciences.com/pub/article/2808
    Download Restriction: no
    File URL: https://www.ijsciences.com/pub/pdf/V132024112808.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.18483/ijSci.2808?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adm:journl:v:13:y:2024:i:11:p:6-16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Staff ijSciences (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.