Abstract — We study the Hulu online video service via active measurements. It is known that Hulu utilizes multiple CDNs to serve users ’ video requests. The focus of this study is on how Hulu selects CDNs and how each CDN allocates resources (i.e., servers) to serve user requests. Based on our

of local connectivity and storage in residential environments, and that these resources can be used to relieve the access network load. Making effective use of this local connectivity, however, introduces several challenges that require careful application and protocol design. We present a new system for a

Today’s commercial video streaming services use dynamic rateselectiontoprovideahigh-qualityuserexperience. Most services host content on standard HTTP servers in CDNs, so rate selection must occur at the client. We measure three popular video streaming services – Hulu, Netflix, and Vudu – and find

of similar on-demand streaming services. In this paper, we perform a measurement study of Netflix to uncover its architecture and service strategy. We find that Netflix employs a blend of data centers and Content Delivery Networks (CDNs) for content distribution. We also perform active measurements

characteristics, CDNs deal with extremely large content vol-ume, high content diversity, and strong temporal dynam-ics. For performance metrics, other than hit ratio, CDNs also need to minimize the disk operations and the volume of traffic from origin servers. In this paper, we conduct a large-scale measurement

of similar on-demand streaming services. In this paper, we perform a measurement study of Netflix to uncover its architecture and service strategy. We find that Netflix employs a blend of data centers and Content Delivery Networks (CDNs) for content distribution and streaming. We also perform active

Over the past decade a variety of network architectures have been proposed to address IP’s limitations in terms of flexible forwarding, security, and data distribution. Meanwhile, fueled by the explosive growth of video traffic and HTTP infrastructure (e.g., CDNs, web caches), HTTP has became

major video providers is inserting ads that play in-stream with the video that is being watched. Our work represents the first rigorous scientific study of the key fac-tors that determine the e↵ectiveness of video ads as mea-sured by their completion and abandonment rates. We col-lect and analyze a

An imminent challenge that content providers, CDNs, thirdparty analytics and optimization services, and video player designers in the Internet video ecosystem face is the lack of a single “gold standard ” to evaluate different competing solutions. Existing techniques that describe the quality

In this paper, we examine changes in Internet inter-domain traffic demands and interconnection policies. We analyze more than 200 Exabytes of commercial Internet traffic over a two year period through the instrumentation of 110 large and geographically diverse cable operators, international transit