Danilo Giordano

Based in Turin




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About the author

His research interests are focused on data analysis in small data and big data environments exploiting statistical and machine learning techniques. In particular, his interests are related to network measurements, and experiments meant to analyse network data and possibly highlight anomalies. In addition to the networking measurements, he is currently involved in a project to study future evolutions of car sharing mobility in smart cities. He actively participated in 7 conference papers and 2 journal papers, being awarded with the best students paper award at the ITC 2015 conference, and the IETF Applied Networking Research Prize 2017. He also spent two periods abroad in the CAIDA research center located in the UC San Diego university and Narus Inc. a company with headquarter in the San Francisco Bay Area.

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ERRANT: Realistic Emulation of Radio Access Networks

ERRANT: Realistic Emulation of Radio Access Networks

5 min read

Mobile networks have become ubiquitous, offering connectivity performance from slow connections up to speeds comparable with broadband connections. Having tools to emulate such variability correctly is paramount to test new protocols and applications before publicly releasing them.

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