Research
The Cloud and Network Computing group focuses on improving the performance, reliability and sustainability of cloud and networked systems. We aim to build systems that are capable of seamlessly handling connectivity and data processing from numerous and heterogeneous devices, while maintaining a low environmental footprint. The considered systems lie at the intersection of wireless communications, cloud and edge services, and network infrastructure. Our research employs tools from optimization, applied machine learning, and statistics to achieve these goals.
Focus areas
- Sustainable computing and networked systems Establishing energy-efficiency and carbon-efficiency as fundamental metrics in designing and managing cloud and networked systems.
- Optimization of networked systems Building algorithms for managing communication and computing resources in large-scale systems.
- Performance of emerging applications Optimizing the performance of emerging applications (such as AR, large-scale generative AI services) through intelligent service placement and other application-specific methods.
Ongoing projects
DecAI: Decarbonizing AI through Long-term Impact Assessment and Optimization
Research Council of Finland, 2025—2029
The project aims to estimate and reduce carbon emissions across the entire lifecycle of AI,
from development to operation and use. It also designs optimization algorithms that manage
computing resources in a carbon-efficient way, supporting both sustainability goals and
long-term benefits for the electricity grid.
Previous projects
Scalable and Energy-efficient Networked Systems at the Edge
Research Council of Finland, 2021—2024
The project involved reducing the energy consumed by networking infrastructure while still supporting the always-on, connected services of the future.
Optimization of energy in edge networks
Postdoc pooli (Finnish Cultural Foundation), 2021
The project involved devising new optimization models to allocate resources in data centers such that energy consumed is minimized.