activity
20182021
most citedRefining Network Intents for Self-Driving Networks

11 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2021

On the Privacy of National Contact Tracing COVID-19 Applications: The Coronavírus-SUS Case

Jéferson Campos Nobre, Laura Rodrigues Soares, Briggette Olenka Roman Huaytalla +2

The 2019 Coronavirus disease (COVID-19) pandemic, caused by a quick dissemination of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has had a deep impact worldwi…

cs.NI2021

On Using P2P Technology for Decentralized Detection of Service Level Agreement Violations

Jéferson C. Nobre, Lisandro Z. Granville, Alberto G. Prieto +1

Critical networked services enable significant revenue for network operators and, in turn, are regulated by Service Level Agreements (SLAs). In order to ensure SLAs are being met,…

cs.NI20205 cited

Tangled: A Cooperative Anycast Testbed

Leandro M. Bertholdo, Joao M. Ceron, Wouter B. de Vries +4

Anycast routing is an area of studies that has been attracting interest of several researchers in recent years. Most anycast studies conducted in the past relied on coarse measurem…

cs.NI202011 cited

Refining Network Intents for Self-Driving Networks

Arthur Selle Jacobs, Ricardo José Pfitscher, Ronaldo Alves Ferreira +1

Recent advances in artificial intelligence (AI) offer an opportunity for the adoption of self-driving networks. However, network operators or home-network users still do not have t…

cs.LG2018

Machine Learning in Network Centrality Measures: Tutorial and Outlook

Felipe Grando, Lisando Z. Granville, Luis C. Lamb

Complex networks are ubiquitous to several Computer Science domains. Centrality measures are an important analysis mechanism to uncover vital elements of complex networks. However,…