Massive key performance indicators (KPIs) are monitored as multivariate ...
With the development of IPv6 and edge computing, the edge network should...
Flow-level network measurement is critical to many network applications....
Distributed sparse deep learning has been widely used in many internet-s...
BBRv2, proposed by Google, aims at addressing BBR's shortcomings of
unfa...
In-network computation has been widely used to accelerate data-intensive...
MPTCP is a new transport protocol that enables mobile devices to use mul...
Packet classification according to multi-field ruleset is a key componen...
Finding heavy hitters has been of vital importance in network measuremen...