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

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.

Authors

Institutions

Publication Details

Journal
Future Internet
Published
2025-03-23
DOI
https://doi.org/10.3390/fi17040137
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Michael Polemis, Dimitrios Dechouniotis, Fragkiskos Ninos, Konstantinos Karalas
Future Internet
Digital and Cyber Forensics
article

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

Michael Polemis, Dimitrios Dechouniotis, Fragkiskos Ninos, Konstantinos Karalas
article en

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.

Future InternetVol. 17(4)
University of Piraeus (GR), National Technical University of Athens (GR), Hellenic Open University (GR)
Openalex Percentile: Top 93%
Digital and Cyber Forensics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On Microservice-Based Architecture for Digital Forensics Applications: A Competition Policy Perspective — Michael Polemis, Dimitrios Dechouniotis, et al. · Future Internet (2025) | TGRS Research Map | TGRS