5 papers · 1 filter
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…
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…