Rizos Sakellariou
Papers
2
Total Citations
36
H-Index
2
About
Rizos Sakellariou is a leading researcher at the intersection of distributed systems, cloud computing, and big data analytics, with a particular focus on the Edge-Fog-Cloud continuum. His most cited work introduces an architecture and stochastic method for database container placement across these heterogeneous environments, addressing critical challenges in latency-sensitive IoT and AI applications. This foundational research, part of the Horizon 2020 EU-Korea DECENTER project, has garnered 32 citations and provides a systematic approach to optimizing resource allocation in smart application deployments. Sakellariou’s contributions extend to the manufacturing sector, where his guidelines and lessons learned from the Centro Ricerche FIAT (CRF) case demonstrate practical applications of big data analytics in complex industrial settings. This work tackles the formidable challenge of transforming unstructured, noisy production line data into structured, actionable insights. His research is characterized by a rigorous methodological approach that bridges theoretical stochastic modeling with real-world implementation, making significant strides in enabling efficient, scalable, and intelligent systems for the next generation of distributed computing and data-driven manufacturing.
Research Focus
Key Achievements
Top Papers
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- 2