PTPv2-based network load estimation and its application to QoE monitoring for Over-the-Top services
Résumé
The recently-standardized Precision Time Protocol
v2 (PTPv2) aims at achieving sub-microsecond-level synchronization
between network clocks. In this work, we make the case
for an alternative use of it: Adopting a learning approach, we
observe its delay behavior during the protocol message exchange,
derive models of its dependence on network load and build a realtime
load estimation service. Then, as an application scenario of
this service, we turn our attention to the provision of Over-the-
Top (OTT) services. In such an environment, and assuming a
level of cooperation between the ISP and the OTT provider,
we demonstrate how our service can be used for estimating
user experience for web applications. To this end, we establish
quantitatively the link between network load and user experience
using a state-of-the-art web QoE monitoring framework, and
show how our PTPv2-based load estimation scheme can be
integrated in an OTT service architecture and be utilized for
load-aware, QoE-optimized content delivery decisions