IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i23p3860-d1539173.html
   My bibliography  Save this article

Scalability and Security in Blockchain Networks: Evaluation of Sharding Algorithms and Prospects for Decentralized Data Storage

Author

Listed:
  • Andrey L. Bulgakov

    (Moscow Center for Fundamental and Applied Mathematics, Lomonosov Moscow State University, Moscow 119991, Russia
    Faculty of Economics, Lomonosov Moscow State University, Moscow 119991, Russia)

  • Anna V. Aleshina

    (Moscow Center for Fundamental and Applied Mathematics, Lomonosov Moscow State University, Moscow 119991, Russia
    Faculty of Economics, Lomonosov Moscow State University, Moscow 119991, Russia)

  • Sergey D. Smirnov

    (Moscow Center for Fundamental and Applied Mathematics, Lomonosov Moscow State University, Moscow 119991, Russia)

  • Alexey D. Demidov

    (Moscow Center for Fundamental and Applied Mathematics, Lomonosov Moscow State University, Moscow 119991, Russia)

  • Maxim A. Milyutin

    (Moscow Center for Fundamental and Applied Mathematics, Lomonosov Moscow State University, Moscow 119991, Russia)

  • Yanliang Xin

    (Faculty of Economics, Lomonosov Moscow State University, Moscow 119991, Russia)

Abstract

This article addresses the issues of scalability and security in blockchain networks, with a focus on sharding algorithms and decentralized data storage. Key challenges include the low throughput and high transaction latency in public networks such as Bitcoin and Ethereum. Sharding is examined as a method to enhance performance through data distribution, but it raises concerns regarding node management and reliability. Sharding schemes, such as Elastico, OmniLedger, Pyramid, RepChain, and SSchain, are analyzed, each presenting its own advantages and drawbacks. Alternative architectures like Directed Acyclic Graphs (DAGs) demonstrate potential for improved scalability but require further refinement to ensure decentralization and security. Protocols such as Brokerchain, Meepo, AHL, Benzene, and CycLedger offer unique approaches to addressing performance and transaction consistency issues. This article emphasizes the need for a comprehensive approach, including dynamic sharding, multi-level consensus, and inter-shard coordination. Additionally, a conceptual model is proposed that incorporates the sharding of transactions, states, and networks, which enables greater scalability and efficiency.

Suggested Citation

  • Andrey L. Bulgakov & Anna V. Aleshina & Sergey D. Smirnov & Alexey D. Demidov & Maxim A. Milyutin & Yanliang Xin, 2024. "Scalability and Security in Blockchain Networks: Evaluation of Sharding Algorithms and Prospects for Decentralized Data Storage," Mathematics, MDPI, vol. 12(23), pages 1-24, December.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:23:p:3860-:d:1539173
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/23/3860/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/23/3860/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nikolaos Sifakis & Konstantinos Armyras & Fotis Kanellos, 2025. "Real-Time Power Management of Plug-In Electric Vehicles and Renewable Energy Sources in Virtual Prosumer Networks with Integrated Physical and Network Security Using Blockchain," Energies, MDPI, vol. 18(3), pages 1-63, January.

    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:gam:jmathe:v:12:y:2024:i:23:p:3860-:d:1539173. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.