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Abstract

Large content providers, known as hyper-giants, are responsible for sending the majority of the content traffic to consumers. These hyper-giants operate highly distributed infrastructures to cope with the ever-increasing demand for online content. To achieve 40 commercial-grade performance of Web applications, enhanced end-user experience, improved reliability, and scaled network capacity, hyper-giants are increasingly interconnecting with eyeball networks at multiple locations. This poses new challenges for both (1) the eyeball networks having to perform complex inbound traffic engineering, and (2) hyper-giants having to map end-user requests to appropriate servers. We report on our multi-year experience in designing, building, rolling-out, and operating the first-ever large scale system, the Flow Director, which enables automated cooperation between one of the largest eyeball networks and a leading hyper-giant. We use empirical data collected at the eyeball network to evaluate its impact over two years of operation. We find very high compliance of the hyper-giant to the Flow Director’s recommendations, resulting in (1) close to optimal user-server mapping, and (2) 15% reduction of the hyper-giant’s traffic overhead on the ISP’s long-haul links, i.e., benefits for both parties and end-users alike. EC/H2020/679158/EU/Resolving the Tussle in the Internet: Mapping, Architecture, and Policy Making/ResolutioNe


Original document

The different versions of the original document can be found in:

https://depositonce.tu-berlin.de/bitstream/11303/10442/4/pujol_etal_2019.pdf,
https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_3185986,
https://dl.acm.org/citation.cfm?id=3365430,
https://depositonce.tu-berlin.de/handle/11303/10442,
https://academic.microsoft.com/#/detail/2993763542
http://dx.doi.org/10.14279/depositonce-9394
http://dx.doi.org/10.1145/3359989.3365430 under the license http://www.acm.org/publications/policies/copyright_policy#Background


DOIS: 10.14279/depositonce-9394 10.1145/3359989.3365430

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Document information

Published on 01/01/2019

Volume 2019, 2019
DOI: 10.14279/depositonce-9394
Licence: Other

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