| Full text | |
| Author(s): |
Dadauto, Caio Vinicius
;
da Fonseca, Nelson L. S.
;
Torres, Ricardo da S.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT; v. 21, n. 5, p. 14-pg., 2024-10-01. |
| Abstract | |
Accurate modeling of realistic network topologies is essential for evaluating novel Internet solutions. Numerous investigations have used topologies generated by graph generators employing scale-free-based models. Although scale-free networks accurately encode node degree distribution, they overlook crucial graph properties, such as betweenness, clustering, and assortativity. The limitations of existing generators pose challenges for evaluating network mechanisms and protocols, such as routing. This paper introduces a novel deep learning-based generator of synthetic graphs representing intra-autonomous on the Internet, named Deep-Generative Graphs for the Internet (DGGI). It also presents a massive new dataset of real intra-AS graphs extracted from the project Internet Topology Data Kit (ITDK), called Internet Graphs (IGraphs). DGGI creates synthetic graphs that accurately reproduce the properties of centrality, clustering, assortativity, and node degree. DGGI overperforms existing Internet topology generators. On average, DGGI improves the Maximum Mean Discrepancy (MMD) metric by 84.4%, 95.1%, 97.9%, and 94.7% for assortativity, betweenness, clustering, and node degree, respectively. (AU) | |
| FAPESP's process: | 15/24494-8 - Communications and processing of big data in cloud and fog computing |
| Grantee: | Nelson Luis Saldanha da Fonseca |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 16/50250-1 - The secret of playing football: Brazil versus the Netherlands |
| Grantee: | Sergio Augusto Cunha |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 23/00673-7 - Distributed intelligence in communications networks and in the internet of things |
| Grantee: | Nelson Luis Saldanha da Fonseca |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 17/20945-0 - Multi-user equipment approved in great 16/50250-1: local positioning system |
| Grantee: | Sergio Augusto Cunha |
| Support Opportunities: | Multi-user Equipment Program |