Steering hyper-giants' traffic at scale
| dc.contributor.author | Pujol, Enric | |
| dc.contributor.author | Poese, Ingmar | |
| dc.contributor.author | Zerwas, Johannes | |
| dc.contributor.author | Smaragdakis, Georgios | |
| dc.contributor.author | Feldmann, Anja | |
| dc.date.accessioned | 2019-12-05T09:29:51Z | |
| dc.date.available | 2019-12-05T09:29:51Z | |
| dc.date.issued | 2019-12-10 | |
| dc.description.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. | en |
| dc.description.sponsorship | EC/H2020/679158/EU/Resolving the Tussle in the Internet: Mapping, Architecture, and Policy Making/ResolutioNet | en |
| dc.identifier.isbn | 978-1-4503-6998-5 | |
| dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/10442 | |
| dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-9394 | |
| dc.language.iso | en | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject.ddc | 000 Informatik, Informationswissenschaft, allgemeine Werke | de |
| dc.subject.other | CDN-ISP collaboration | en |
| dc.subject.other | traffic engineering | en |
| dc.subject.other | inter-domain traffic | en |
| dc.subject.other | cross-layer | en |
| dc.subject.other | operational experience | en |
| dc.title | Steering hyper-giants' traffic at scale | en |
| dc.type | Conference Object | en |
| dc.type.version | acceptedVersion | en |
| dcterms.bibliographicCitation.doi | 10.1145/3359989.3365430 | en |
| dcterms.bibliographicCitation.originalpublishername | Association for Computing Machinery (ACM) | en |
| dcterms.bibliographicCitation.originalpublisherplace | New York, NY | en |
| dcterms.bibliographicCitation.pageend | 95 | en |
| dcterms.bibliographicCitation.pagestart | 82 | en |
| dcterms.bibliographicCitation.proceedingstitle | Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies - CoNEXT '19 | en |
| tub.accessrights.dnb | free | en |
| tub.affiliation | Fak. 4 Elektrotechnik und Informatik::Inst. Telekommunikationssysteme::FG Internet Measurement and Analysis (IMA) | de |
| tub.affiliation.faculty | Fak. 4 Elektrotechnik und Informatik | de |
| tub.affiliation.group | FG Internet Measurement and Analysis (IMA) | de |
| tub.affiliation.institute | Inst. Telekommunikationssysteme | de |
| tub.publisher.universityorinstitution | Technische Universität Berlin | en |