20 citations · 50 across the 16 of their papers we have counts for
16 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…
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…
Design and evaluation of a cognitive approach for disseminating semantic knowledge and content in opportunistic networks
Matteo Mordacchini, Lorenzo Valerio, Marco Conti +1
In cyber-physical convergence scenarios information flows seamlessly between the physical and the cyber worlds. Here, users' mobile devices represent a natural bridge through which…
A Social Cognitive Heuristic for Adaptive Data Dissemination in Mobile Opportunistic Networks
Matteo Mordacchini, Andrea Passarella, Marco Conti
It is commonly agreed that data will be one of the cornerstones of Future Internet systems. In this context, mobile Opportunistic Networks (ONs) are one of the key paradigms to sup…
Crowdsourcing through Cognitive Opportunistic Networks
M. Mordacchini, A. Passarella, M. Conti +5
Untile recently crowdsourcing has been primarily conceived as an online activity to harness resources for problem solving. However the emergence of opportunistic networking (ON) ha…
Human-centric Data Dissemination in the IoP: Large-scale Modeling and Evaluation
Matteo Mordacchini, Marco Conti, Andrea Passarella +1
Data management using Device-to-Device (D2D) communications and opportunistic networks (ONs) is one of the main focuses of human-centric pervasive Internet services. In the recentl…
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…
AoI-based Multicast Routing over Voronoi Overlays with Minimal Overhead
Michele Albano, Matteo Mordacchini, Laura Ricci
The increasing pervasive and ubiquitous presence of devices at the edge of the Internet is creating new scenarios for the emergence of novel services and applications. This is part…
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…
Epidemic Information Diffusion: A Simple Solution to Support Community-based Recommendations in P2P Overlays
Patrizio Dazzi, Matteo Mordacchini, Laura Ricci
Epidemic protocols proved to be very efficient solutions for supporting dynamic and complex information diffusion in highly dis- tributed computing infrastructures, like P2P enviro…
ATLAAS-P2P: a two layer network solution for easing the resource discovery process in unstructured networks
Ranieri Baraglia, Patrizio Dazzi, Matteo Mordacchini +1
ATLAAS-P2P is a two-layered P2P architecture for developing systems providing resource aggregation and approximated discovery in P2P networks. Such systems allow users to search th…
On Democracy in Peer-to-Peer systems
Ranieri Baraglia, Patrizio Dazzi, Matteo Mordacchini +2
The information flow inside a P2P network is highly dependent on the network structure. In order to ease the diffusion of relevant data toward interested peers, many P2P protocols…