PhD Candidate in Computer Science · IMT Atlantique · Inria · LS2N (STACK team) · Nantes, France
Energy-aware cloud computing, from Intel RAPL to Kubernetes.
Also published as Romial Menra
I work on making cloud infrastructures consume less energy, without making them slower.
My thesis (2024 to 2027) studies power management across the whole cloud stack: from the hardware mechanisms that let a processor limit its own power, up to the orchestration layer where Kubernetes decides where and how workloads run. The work relies on large-scale experiments on the Grid'5000 testbed and is carried out partly with Orange Research.
Before the PhD, I trained as a computer engineer at ENSPY (Yaoundé, Cameroon) and spent two years building and running production platforms as a developer and team lead. I am also involved in C5IN, a research and innovation network on cloud, edge and IoT in Cameroon.
Hardware power limiting. How processors cap their own power: Intel RAPL limits, time windows and their interaction with Turbo Boost on real servers.
Modelling power behaviour. Turning measurements into predictions: analytical models of turbo duration, and where power capping stops saving energy.
Energy-aware orchestration. Making power a first-class resource in Kubernetes: node-level capping, server profiling and energy-driven scheduling.
Modelling and analysis
Systems and experimentation
Open to collaborations on energy-aware systems. Contact: itsme@menraromial.com