A growing number of video streaming networks are incorporating machine learning (ML)
applications. The growth of video streaming services places enormous pressure on network …

Video streaming traffic growth poses a challenge for many video content providers to
maintain high video quality on their networks. Modern day networks are highly dynamic due …

We predict performance metrics of cloud services using statistical learning, whereby the
behaviour of a system is learned from observations. Specifically, we collect device and …

Time-varying loads introduce errors in the estimated model parameters of service-level
predictors in computer networks. A load-adjusted modification of a traditional unadjusted …

An algorithm for predicting the quality of video received by a client from a shared server is
presented. A statistical model for this client-server system, in the presence of other clients, is …

We are on the cusp of an era where we can responsively and adaptively predict future
network performance from network device statistics in the Cloud. To make this happen …

Predicting video quality will continue to be an active area of research given the dominance
of video traffic for years to come. Network service practitioners that are poised to handle the …

We establish that State Acquisition should be per-formed in networks at a rate which is
consistent with the rate-of-change of the element or service being observed. We …

Software-Defined Networking (SDN) has transformed network administration, highlighting
the importance of monitoring techniques in improving network performance and reliability …

Network managers that succeed in improving the accuracy of client video service level
predictions, where the video is deployed in a cloud infrastructure, will have the ability to …