The increasing performance requirements of today's Internet applications demand a reliable
mechanism to transfer data. Many applications rely on the Transmission Control Protocol …

Current network functions build heavily on fixed programmed rules and lack capacity to
support more expressive learning models, eg brain-inspired Cognitive computational …

The advent of programmable network switch ASICs and recent developments on other
programmable data planes (NPUs, FPGAs) drive the renewed interest in network data plane …

Flow scheduling is crucial in improving network Quality of Service (QoS). According to
different optimization goals, many scheduling algorithms (eg, STFQ, pFabric, SRPT, WFQ) …

This article presents a Machine Learning Controller (MLC) supported by a P4 switch for
improving rate control in non-dedicated Science Demilitarized Zone (Science DMZ) …

Data center networks include a wide variety of service categories, which leads to a complex
network topology. As a result, the QoS of different service flows cannot be guaranteed. In this …

Emerging network application paradigms, such as the Tactile Internet, re-emphasize the
need for different Quality of Service (QoS) levels. Due to the large packet buffers in the …

Fulfilling the ambitious Quality of Service demands of today's wireless networks, especially
low latency, high bandwidths and availability, is a big challenge for researchers, network …

The Tactile Internet needs to support multiple modalities, including haptic data
simultaneously, to enable human and robot interaction in perceived real-time. Compared to …

Active Queue Management (AQM) algorithms are heavily used in packet processors to
maintain an optimal queue size and avoid issues like Bufferbloat. Despite the remarkable …