Paolo Monti, Chalmers University of Technology, Sweden
Loukas Paraschis, IEEE Communication Society, USA
Christine Tremblay, École de technologie supérieure, Canada
Elaine Wong, Melbourne School of Engineering, Australia
Anny Zheng, Google, USA
Network Analytics has become an increasingly important new area of innovation, most often led by the explosive demands in data center networks. There are many exciting use cases which collectively promise to catalyze the paradigm shift from event (and human) driven networking to machine-driven and eventually autonomous networking based on selfadjusting or self-healing frameworks. There are also many equally exciting recent innovations in the related enabling technologies, most notably leveraging advancements in software automation, telemetry and provisioning with model driven abstractions combined with machine-learning and AI data analytics, towards network (often multilayer) optimization or proactive (even predictive) protection or restoration. For example, in a notable such network optimization, Google announced in August 2022 the use of SDN analytics and control and optical switches to replace its packet switching clos fabric spine and enable a much more scalable data center fabric. The OFC 2023 symposium, as the first in a series of OFC symposia on this topic, will specifically aim to identify, beyond the hype, the main optical network analytics use cases, their feasibility, barriers, and related R&D efforts. Invited speakers from data center operators, telecom network, system and technology providers, and academia will review the advancements and debate the important next steps.