Global QoS Policy Optimization in SD-WAN

In modern SD-WAN networks, a global controller is able to steer traffic on different paths based on application requirements and global intents. However, existing solutions cannot dynamically tune the way bandwidth is shared between flows inside each network, in particular when the available capacity is uncertain due to cross traffic. In this context, we propose a global QoS (Quality of Service) policy optimization model that dynamically adjusts rate limits of applications based on their requirements to follow the evolution of network conditions. It relies on a novel cross-traffic estimator for the available bandwidth of overlay links that only exploits already available measurements. We propose a centralized local search algorithm with cross-traffic estimation and show in packet-level simulations a significant performance improvement in terms of SLA (Service Level Agreement) satisfaction. The adaptive tuning of load balancing and QoS policies based on cross-traffic estimation can improve SLA satisfaction by 40% compared to static policies.