7 papers
CLOUDADV: Decision-Aligned Instance Sizing with Zero-Shot Foundation Models under Drift
Jack Bell, Giacomo Carfi, Gerlando Gramaglia +3
Cloud virtual machines are often overprovisioned, creating avoidable cost and operational inefficiency. We present CLOUDADV, an interactive engineer-facing advisory system for clou…
Continual Model Routing in Evolving Model Hubs
Jack Bell, Giacomo Carfì, Gerlando Gramaglia +1
AI model hubs provide access to a rapidly growing collection of powerful pre-trained models, enabling off-the-shelf mixture-of-experts systems with different routing strategies. Ho…
Book your room in the Turing Hotel! A symmetric and distributed Turing Test with multiple AIs and humans
Christian Di Maio, Tommaso Guidi, Luigi Quarantiello +4
In this paper, we report our experience with ``TuringHotel'', a novel extension of the Turing Test based on interactions within mixed communities of Large Language Models (LLMs) an…
Reinforcement Learning-Based Dynamic Management of Structured Parallel Farm Skeletons on Serverless Platforms
Lanpei Li, Massimo Coppola, Malio Li +3
We present a framework for dynamic management of structured parallel processing skeletons on serverless platforms. Our goal is to bring HPC-like performance and resilience to serve…
Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum
Lanpei Li, Jack Bell, Massimo Coppola +1
In the Cloud-Edge Continuum, dynamic infrastructure change and variable workloads complicate efficient resource management. Centralized methods can struggle to adapt, whilst purely…
A Compositional Paradigm for Foundation Models: Towards Smarter Robotic Agents
Luigi Quarantiello, Elia Piccoli, Jack Bell +8
The birth of Foundation Models brought unprecedented results in a wide range of tasks, from language to vision, to robotic control. These models are able to process huge quantities…