Enabling content-aware traffic engineering

Published

Journal Article

Today, a large fraction of Internet traffic is originated by Content Delivery Networks (CDNs). To cope with increasing demand for content, CDNs have deployed massively distributed infrastructures. These deployments pose challenges for CDNs as they have to dynamically map end-users to appropriate servers without being fully aware of the network conditions within an Internet Service Provider (ISP) or the end-user location. On the other hand, ISPs struggle to cope with rapid traffic shifts caused by the dynamic server selection policies of the CDNs. The challenges that CDNs and ISPs face separately can be turned into an opportunity for collaboration. We argue that it is sufficient for CDNs and ISPs to coordinate only in server selection, not routing, in order to perform traffic engineering. To this end, we propose Content-aware Traffic Engineering (CaTE), which dynamically adapts server selection for content hosted by CDNs using ISP recommendations on small time scales. CaTE relies on the observation that by selecting an appropriate server among those available to deliver the content, the path of the traffic in the network can be influenced in a desired way. We present the design and implementation of a prototype to realize CaTE, and show how CDNs and ISPs can jointly take advantage of the already deployed distributed hosting infrastructures and path diversity, as well as the ISP detailed view of the network status without revealing sensitive operational information. By relying on tier-1 ISP traces, we show that CaTE allows CDNs to enhance the end-user experience while enabling an ISP to achieve several traffic engineering goals.

Full Text

Duke Authors

Cited Authors

  • Poese, I; Frank, B; Smaragdakis, G; Uhlig, S; Feldmann, A; Maggs, B

Published Date

  • October 1, 2012

Published In

Volume / Issue

  • 42 / 5

Start / End Page

  • 22 - 28

Electronic International Standard Serial Number (EISSN)

  • 1943-5819

International Standard Serial Number (ISSN)

  • 0146-4833

Digital Object Identifier (DOI)

  • 10.1145/2378956.2378960

Citation Source

  • Scopus