18 citations · 79 across the 19 of their papers we have counts for
9 papers · 1 filter
Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching
Alessandro Finamore, James Roberts, Massimo Gallo +1
While Deep Learning (DL) technologies are a promising tool to solve networking problems that map to classification tasks, their computational complexity is still too high with resp…
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore +4
The recent popularity growth of Deep Learning (DL) re-ignited the interest towards traffic classification, with several studies demonstrating the accuracy of DL-based classifiers t…
FENXI: Deep-learning Traffic Analytics at the Edge
Massimo Gallo, Alessandro Finamore, Gwendal Simon +1
Live traffic analysis at the first aggregation point in the ISP network enables the implementation of complex traffic engineering policies but is limited by the scarce processing c…
Back in control -- An extensible middle-box on your phone
James Newman, Abbas Razaghpanah, Narseo Vallina-Rodriguez +4
The closed design of mobile devices -- with the increased security and consistent user interfaces -- is in large part responsible for their becoming the dominant platform for acces…
Where Things Roam: Uncovering Cellular IoT/M2M Connectivity
Andra Lutu, Byunjin Jun, Alessandro Finamore +2
Support for things roaming internationally has become critical for Internet of Things (IoT) verticals, from connected cars to smart meters and wearables, and explains the commercia…
Generalizing Critical Path Analysis on Mobile Traffic
Gioacchino Tangari, Alessandro Finamore, Diego Perino
Critical Path Analysis (CPA) studies the delivery of webpages to identify page resources, their interrelations, as well as their impact on the page loading latency. Despite CPA bei…