Programmable data planes allow users to define their own data plane algorithms for network
devices including appropriate data plane application programming interfaces (APIs) which …

Machine learning is widely used to solve networking challenges, ranging from traffic
classification and anomaly detection to network configuration. However, machine learning …

SmartNICs are on the rise as a packet processing platform, with the trend towards a uniform
P4 programming model. However, unleashing SmartNIC packet processing performance in …

In-Network Computing (INC) has found many applications for performance boosts or cost
reduction. However, given heterogeneous devices, diverse applications, and multi-path …

In-network computing provides significant performance benefits, load reduction, and power
savings. Still, an in-network service's functionality is strictly limited to a single hardware …

Our community has made significant progress in developing programmable network
infrastructure, starting from the control plane and expanding to the data plane. As a latest …

Compiling high-level programs to high-speed packet-processing pipelines is a challenging
combinatorial optimization problem. The compiler must configure the pipeline's resources to …

Recently, Programmable Data Planes (PDPs) have brought new opportunities to
unprecedented innovations in network protocols and architectures. Among them …

This paper focuses on hybrid pipeline designs for User Plane Function and next-generation
NodeB leveraging target-specific features and an insightful discussion of P4 and target …

Internet of Things (IoT) security has heavily relied on Machine Learning (ML) techniques in
recent years. However, these techniques inherently require a vast amount of labeled data for …