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Main Title: Steering hyper-giants' traffic at scale
Author(s): Pujol, Enric
Poese, Ingmar
Zerwas, Johannes
Smaragdakis, Georgios
Feldmann, Anja
Type: Conference Object
Language Code: en
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.
Issue Date: 10-Dec-2019
Date Available: 5-Dec-2019
DDC Class: 000 Informatik, Informationswissenschaft, allgemeine Werke
Subject(s): CDN-ISP collaboration
traffic engineering
inter-domain traffic
operational experience
Sponsor/Funder: EC/H2020/679158/EU/Resolving the Tussle in the Internet: Mapping, Architecture, and Policy Making/ResolutioNet
Proceedings Title: Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies - CoNEXT '19
Publisher: Association for Computing Machinery (ACM)
Publisher Place: New York, NY
Publisher DOI: 10.1145/3359989.3365430
Page Start: 82
Page End: 95
ISBN: 978-1-4503-6998-5
Appears in Collections:FG Internet Network Architectures (INET) » Publications

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