Special Issue on The ACM SIGMETRICS Workshop on Measurements for Self-Driving Networks

Abstract

The design and implementation of autonomous or "selfdriving networks" represent some of today's most significant challenges in networking research. The vision for these networks is that they will be able to make management and control decisions in real time, typically without human intervention. Recent technological advancements, like SDN and 5G networks, along with scientific innovations such as XAI and transformers, have paved the way for this vision. Key innovations include: (1) fully programmable, protocol-independent data planes and the languages to program them; (2) scalable platforms capable of processing distributed streaming data, bolstered by the latest tools and software for data analysis and machine learning (ML).