Next-generation data center network enabled by machine learning: Review, challenges, and opportunities
Data center network (DCN) is the backbone of many emerging applications from smart
connected homes to smart traffic control and is continuously evolving to meet the diverse …
connected homes to smart traffic control and is continuously evolving to meet the diverse …
A deep learning based traffic flow classification with just a few packets
Recently, traffic flow classification has received unprecedented attention due to the
introduction of a variety of network applications. Classification plays a crucial role in cyber …
introduction of a variety of network applications. Classification plays a crucial role in cyber …
Towards identifying internet applications using early classification of traffic flow
Network traffic classification has been an interesting topic of research for many years. It
plays a crucial role in many network applications including resource allocation, intrusion …
plays a crucial role in many network applications including resource allocation, intrusion …
LAFS: Learning-Based Application-Agnostic Flow Scheduling for Datacenters
Many cloud applications in modern datacenters have very demanding latency requirements,
making flow completion time (FCT) an important metric for evaluating the network …
making flow completion time (FCT) an important metric for evaluating the network …