10 citations · 14 across the 11 of their papers we have counts for
12 papers
Trade-offs in Decentralized Agentic AI Discovery Across the Compute Continuum
Patrizio Dazzi, Emanuele Carlini, Matteo Mordacchini +1
Agentic systems deployed across the compute continuum need discovery mechanisms that remain effective across cloud, edge, and intermittently connected domains. In some emerging age…
Usable Agent Discovery for Decentralized AI Systems
Patrizio Dazzi, Emanuele Carlini, Matteo Mordacchini +1
Large-scale agentic systems run on distributed infrastructures where many software agents share physical hosts and are discovered via peer-to-peer mechanisms. Discovery must handle…
A Parallel and Distributed Rust Library for Core Decomposition on Large Graphs
Davide Rucci, Sebastian Parfeniuc, Matteo Mordacchini +3
In this paper, we investigate the parallelization of -core decomposition, a method used in graph analysis to identify cohesive substructures and assess node centrality. Although…
A Fast-Converging Decentralized Approach to the Weighted Minimum Vertex Cover Problem
Matteo Mordacchini, Emanuele Carlini, Patrizio Dazzi
We address the problem of computing a Minimum Weighted Vertex Cover (MWVC) in a decentralized network. MWVC, a classical NP-hard problem, is foundational in applications such as ne…
Decentralized and Self-adaptive Core Maintenance on Temporal Graphs
Davide Rucci, Emanuele Carlini, Patrizio Dazzi +2
Key graph-based problems play a central role in understanding network topology and uncovering patterns of similarity in homogeneous and temporal data. Such patterns can be revealed…
ImPORTance: Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency
Emanuele Carlini, Domenico Di Gangi, Vinicius Monteiro de Lira +3
Seaports play a crucial role in the global economy, and researchers have sought to understand their significance through various studies. In this paper, we aim to explore the commo…
Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement
Antonios Makris, Theodoros Theodoropoulos, Evangelos Psomakelis +4
The shift from Cloud Computing to a Cloud-Edge continuum presents new opportunities and challenges for data-intensive and interactive applications. Edge computing has garnered a lo…
Efficient Resources Distribution for an Ephemeral Cloud/Edge continuum
Emanuele Carlini, Patrizio Dazzi, Luca Ferrucci +1
This paper presents the idea and the concepts behind the vision of an Ephemeral Cloud/Edge Continuum, a cloud/edge computing landscape that enables the exploitation of a widely dis…
TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud +32
This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment c…
An edge-fog-cloud platform for anticipatory learning process designed for Internet of Mobile Things
Hung Cao, Monica Wachowicz, Chiara Renso +1
This paper presents a novel architecture for data analytics targeting an anticipatory learning process in the context of the Internet of Mobile Things. The architecture is geo-dist…
Challenges to be addressed for realising an Ephemeral Cloud Federation
Emanuele Carlini, Massimo Coppola, Patrizio Dazzi +1
This paper sketches the challenges to address to realise a support able to achieve an Ephemeral Cloud Federation, an innovative cloud computing paradigm that enables the exploitati…
Combining Peer-to-Peer and Cloud Computing for Large Scale On-line Games
Emanuele Carlini
This thesis investigates the combination of Peer-to-Peer (P2P) and Cloud Computing to support Massively Multiplayer On- line Games (MMOGs). MMOGs are large-scale distributed applic…