In comparison with cloud computing, edge computing offers processing at locations closer to
end devices and reduces the user experienced latency. The new recent paradigm of in …

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

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

Traditionally, the data plane has been designed with fixed functions to forward packets using
a small set of protocols. This closed-design paradigm has limited the capability of the …

Memory disaggregation promises transparent elasticity, high resource utilization and
hardware heterogeneity in data centers by physically separating memory and compute into …

Using programmable network devices to aid in-network machine learning has been the
focus of significant research. However, most of the research was of a limited scope …

With the rapid development of cloud computing, edge computing, and smart devices,
computing power resources indicate a trend of ubiquitous deployment. The traditional …

This paper describes Trio, a programmable chipset used in Juniper Networks' MX-series
routers and switches. Trio's architecture is based on a multi-threaded programmable packet …

P4 has emerged as the de facto standard language for describing how network packets
should be processed, and is becoming widely used by network owners, systems developers …

In the 6G network era, energy-efficient computing means higher resource utilization and
lower energy consumption. The traditional computing model regards the network as a …