5 papers
K8S Power Irrigation: Deep Reinforcement Learning for Performance-Aware Power Efficiency of Kubernetes Cloud-Native Microservices
Zouhir Bellal, Laaziz Lahlou, Nadjia Kara +2
Modern cloud platforms are facing a sharp increase in power demand driven by the rapid adoption of AI-powered applications, making power optimization urgent under net-zero commitme…
Fully Homomorphic Encryption on Llama 3 model for privacy preserving LLM inference
Anes Abdennebi, Nadjia Kara, Laaziz Lahlou
The applications of Generative Artificial Intelligence (GenAI) and their intersections with data-driven fields, such as healthcare, finance, transportation, and information securit…
LanG -- A Governance-Aware Agentic AI Platform for Unified Security Operations
Anes Abdennebi, Nadjia Kara, Laaziz Lahlou +1
Modern Security Operations Centers struggle with alert fatigue, fragmented tooling, and limited cross-source event correlation. Challenges that current Security Information Event M…
SKYSURF: A Self-learning Framework for Persistent Surveillance using Cooperative Aerial Gliders
Houssem Eddine Mohamadi, Nadjia Kara
The success of surveillance applications involving small unmanned aerial vehicles (UAVs) depends on how long the limited on-board power would persist. To cope with this challenge,…
THEAS: Efficient Power Management in Multi-Core CPUs via Cache-Aware Resource Scheduling
Said Muhammad, Lahlou Laaziz, Nadjia Kara +2
The dynamic adaptation of resource levels enables the system to enhance energy efficiency while maintaining the necessary computational resources, particularly in scenarios where w…