48 citations · 58 across the 14 of their papers we have counts for
4 papers · 1 filter
Smart Adaptive Computing Across the Continuum: LLMs in IoT-Edge-Cloud Resource Management
Antonino Vaccarella, Lanpei Li, Vincenzo Lomonaco +1
Managing resources across IoT, edge, and cloud layers calls for continuous, context-aware decisions under constraints that rarely stay fixed. Deep reinforcement learning (DRL) hand…
ContinuumBench: Benchmarking Joint Autoscaling and Placement Across Evaluation Regimes in the Cloud-Edge Continuum
Lanpei Li, Antonino Vaccarella, Vincenzo Lomonaco +1
Cloud-edge controllers coordinate service placement, replica scaling, and resource pre-warming to keep end-to-end latency within application deadlines. But evaluations often obscur…
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…