In this paper we conduct an extensive and in-depth study of traffic exchanged between YouTube data centers and its users, as seen from the perspective of a tier-1 ISP in Spring 20...
Internet traffic is bursty and network servers are often overloaded with surprising events or abnormal client request patterns. This paper studies a load shedding mechanism called...
This paper examines the problem of real-time estimation of the capacity, which is also known as the bottleneck bandwidth, of a network path using end-to-end measurements in a vide...
Social bookmarking has emerged as a growing source of human generated content on the web. In essence, bookmarking involves URLs and tags on them. In this paper, we perform a large...
We propose novel spatio-temporal models to estimate clickthrough rates in the context of content recommendation. We track article CTR at a fixed location over time through a dynam...