Telemetry as the Foundation of Predictable QoS in Hybrid Campus Networks

Abstract

This paper addresses the problem of ensuring predictable Quality of Service (QoS) in hybrid campus networks that integrate wired Ethernet segments and wireless Wi-Fi segments into a unified infrastructure. It is shown that the fundamentally different nature of constrained resources—bandwidth and queueing in the wired environment versus airtime in the wireless medium—precludes the direct application of classical QoS mechanisms without adaptation. The necessity of a systematic end-to-end QoS approach is substantiated, based on po licy alignment across heterogeneous segments and the use of telemetry as a means of verifiability and controlled adaptation. Classes of telemetry metrics are proposed that enable the assessment of resource state, access quality, and integral end-to-end quality indicators in hybrid campus networks. The role of telemetry as a foundation for building stable QoS policies and for the subsequent application of automation and machine learning methods is demonstrated.