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Timothy Murphy

4 papers

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papers

Publications (4)

cs.SE2023

Telecom AI Native Systems in the Age of Generative AI -- An Engineering Perspective

Ricardo Britto, Timothy Murphy, Massimo Iovene +3

The rapid advancements in Artificial Intelligence (AI), particularly in generative AI and foundational models (FMs), have ushered in transformative changes across various industrie…

cs.NI2026

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…

cs.DC2025

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…

cs.NI2025

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132

This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…

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