5 papers
An Analysis of Untrained Deep Reservoir Networks for Audio Surveillance
Corrado Baccheschi, Patrizio Dazzi
In this paper, we investigate untrained recurrent models from the Reservoir Computing (RC) paradigm for audio surveillance, focusing on bidirectional Echo State Networks with diffe…
A Neurosymbolic Prolog Skill for LLM-Driven Service Placement
Jacopo Massa, Giuseppe Bisicchia, Patrizio Dazzi +1
Service placement in the cloud-edge continuum requires assigning application components to heterogeneous resources under multiple constraints, including latency, locality, and poli…
ECLYPSE: a Python Framework for Simulation and Emulation of the Cloud-Edge Continuum
Jacopo Massa, Valerio De Caro, Stefano Forti +3
The Cloud-Edge continuum enhances application performance by bringing computation closer to data sources. However, it presents considerable challenges in managing resources and det…
Combining Declarative and Linear Programming for Application Management in the Cloud-Edge Continuum
Jacopo Massa, Stefano Forti, Patrizio Dazzi +1
This work investigates the data-aware multi-service application placement problem in Cloud-Edge settings. We previously introduced EdgeWise, a hybrid approach that combines declara…
Declarative Traffic Engineering for Low-Latency and Reliable Networking
Jacopo Massa, Stefano Forti, Federica Paganelli +4
Cloud-Edge applications like industrial control systems and connected vehicles demand stringent end-to-end latency guarantees. Among existing data plane candidate solutions for bou…