Content-aware Traffic Engineering
Benjamin Frank, Ingmar Poese, Georgios Smaragdakis, Steve, Uhlig, Anja Feldmann

TL;DR
This paper introduces Content-aware Traffic Engineering (CaTE), a method that leverages ISP network data and user location to optimize content delivery, reducing traffic and improving user experience.
Contribution
It presents a novel, joint approach for CPs and ISPs to dynamically optimize server selection and traffic management using network-aware information.
Findings
Up to 15% reduction in network-wide traffic.
Up to 40% decrease in ISP link utilization.
Improved end-user experience with reduced delay.
Abstract
Today, a large fraction of Internet traffic is originated by Content Providers (CPs) such as content distribution networks and hyper-giants. To cope with the increasing demand for content, CPs deploy massively distributed infrastructures. This poses new challenges for CPs as they have to dynamically map end-users to appropriate servers, without being fully aware of network conditions within an ISP as well as the end-users network locations. Furthermore, ISPs struggle to cope with rapid traffic shifts caused by the dynamic server selection process of CPs. In this paper, we argue that the challenges that CPs and ISPs face separately today can be turned into an opportunity. We show how they can jointly take advantage of the deployed distributed infrastructures to improve their operation and end-user performance. We propose Content-aware Traffic Engineering (CaTE), which dynamically…
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