IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v17y2025i4p137-d1618611.html
   My bibliography  Save this article

On Microservice-Based Architecture for Digital Forensics Applications: A Competition Policy Perspective

Author

Listed:
  • Fragkiskos Ninos

    (Department of Economics, University of Piraeus, 18534 Piraeus, Greece
    Hellenic Competition Commission, 10434 Athens, Greece)

  • Konstantinos Karalas

    (Hellenic Competition Commission, 10434 Athens, Greece)

  • Dimitrios Dechouniotis

    (Hellenic Competition Commission, 10434 Athens, Greece
    Division of Communication, Electronic and Information Engineering, National Technical University of Athens, 15772 Athens, Greece)

  • Michael Polemis

    (Department of Economics, University of Piraeus, 18534 Piraeus, Greece
    Hellenic Competition Commission, 10434 Athens, Greece
    Department of Economics, Hellenic Open University, 26335 Patras, Greece)

Abstract

Digital forensics systems are complex applications consisting of numerous individual components that demand substantial computing resources. By adopting the concept of microservices, forensics applications can be divided into smaller, independently managed services. In this context, cloud resource orchestration platforms like Kubernetes provide augmented functionalities, such as resource scaling, load balancing, and monitoring, supporting every stage of the application’s lifecycle. This article explores the deployment of digital forensics applications over a microservice-based architecture. Leveraging resource scaling and persistent storage mechanisms, we introduce a vertical scaling mechanism for compute-intensive forensics applications. A practical evaluation of digital forensics applications in competition investigations was performed using datasets from the private cloud of the Hellenic Competition Commission. The numerical results illustrate that the processing time of CPU-intensive tasks is reduced significantly using dynamic resource scaling, while data integrity and security requirements are fulfilled.

Suggested Citation

  • Fragkiskos Ninos & Konstantinos Karalas & Dimitrios Dechouniotis & Michael Polemis, 2025. "On Microservice-Based Architecture for Digital Forensics Applications: A Competition Policy Perspective," Future Internet, MDPI, vol. 17(4), pages 1-15, March.
  • Handle: RePEc:gam:jftint:v:17:y:2025:i:4:p:137-:d:1618611
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/17/4/137/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/17/4/137/
    Download Restriction: no
    ---><---

    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:jftint:v:17:y:2025:i:4:p:137-:d:1618611. 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.