Marko Bajec
Papers
1
Total Citations
32
H-Index
1
About
Marko Bajec is a leading researcher in distributed database systems, cloud-edge continuum architectures, and smart infrastructure technologies. His work addresses the critical challenge of efficiently placing and managing database containers across the edge-fog-cloud continuum to support latency-sensitive, data-intensive applications. In his highly cited 2019 paper, "An Architecture and Stochastic Method for Database Container Placement in the Edge-Fog-Cloud Continuum," he introduced a novel stochastic method for optimizing database container placement, directly enabling smarter, more responsive IoT and AI services. This foundational contribution, garnering 32 citations, was developed within the prestigious Horizon 2020 EU-Korea DECENTER project, which applies these innovations to real-world smart city and smart factory scenarios. Bajec’s research bridges theoretical modeling with practical deployment, providing robust solutions for the growing demands of distributed intelligence. His work is essential reading for anyone interested in the future of data management at the network edge, cloud federation, and the seamless orchestration of resources in the emerging continuum computing paradigm.
Research Focus
Key Achievements
Top Papers
- 1