IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i2id1270.html

Architecting Hybrid Edge-Cloud Solutions: Integration Patterns for Public Cloud Platforms

Author

Listed:
  • Gokul Chandra Purnachandra Reddy

Abstract

This article examines the integration of edge computing with major public cloud platforms, presenting a structured analysis of architectural patterns, implementation challenges, and optimization strategies in this rapidly evolving technological domain. The article explores three fundamental integration models—hub-and-spoke, mesh, and hybrid patterns—evaluating their suitability for various use cases and operational environments. It explores critical implementation challenges related to connectivity management, data synchronization, security architecture, and resource orchestration, offering practical solutions for each area. The article analyzes edge computing approaches from major cloud providers, including AWS, Azure, and Google Cloud, highlighting their strengths and limitations. Through case studies across manufacturing, retail, healthcare, and smart city applications, the article demonstrates the transformative impact of edge-cloud integration on performance metrics and business outcomes. The article concludes with a decision framework for architectural pattern selection, best practices for successful deployment, and an examination of emerging technologies that will shape the future of distributed computing architectures.

Suggested Citation

  • Gokul Chandra Purnachandra Reddy, 2025. "Architecting Hybrid Edge-Cloud Solutions: Integration Patterns for Public Cloud Platforms," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(2), pages 2145-2154, March.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1270
    DOI: 10.32628/CSEIT23112562
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT23112562
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT23112562
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT23112562/CSEIT23112562
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT23112562?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jbh:ijsrcs:v11:y2025:i2:id:1270. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.