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Load and video performance patterns of a cloud based WebRTC architecture
dc.contributor.author | Xhagjika, Vamis |
dc.contributor.author | Divorra Escoda, Oscar |
dc.contributor.author | Navarro Moldes, Leandro |
dc.contributor.author | Vlassov, Vladimir |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2018-11-12T15:05:15Z |
dc.date.available | 2018-11-12T15:05:15Z |
dc.date.issued | 2017 |
dc.identifier.citation | Xhagjika, V., Divorra, O., Navarro, L., Vlassov, V. Load and video performance patterns of a cloud based WebRTC architecture. A: IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. "2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2017: 14-17 May 2017, Madrid, Spain: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 739-744. |
dc.identifier.isbn | 978-1-5090-6611-7 |
dc.identifier.uri | http://hdl.handle.net/2117/124004 |
dc.description.abstract | Web Real-Time Communication or Realtime communication in the Web (WebRTC/RTCWeb) is a prolific new standard and technology stack, providing full audio/video agnostic communications for the Web. Service providers implementing such technology deal with various levels of complexity ranging anywhere from: high service distribution, multi-client integration, P2P and Cloud assisted communication backends, content delivery, real-time constraints and across clouds resource allocation. This work presents a study of the joint factors including multi-cloud distribution, network performance, media parameters and back-end resource loads, in Cloud based Media Selective Forwarding Units for WebRTC infrastructures. The monitored workload is sampled from a large population of real users of our testing infrastructure, additionally the performance data is sampled both by passive user measurements as well as server side measurements. Patterns correlating such factors enable designing adaptive resource allocation algorithms and defining media Service Level Objectives (SLO) spanning over multiple data-centers or servers. Based on our analysis, we discover strong periodical load patterns even though the nature of user interaction with the system is mostly not predetermined with variable user churn. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | Cloud computing |
dc.subject.lcsh | Human computer interaction |
dc.subject.lcsh | Real-time data processing |
dc.subject.other | Load measurements |
dc.subject.other | WebRTC |
dc.subject.other | RTP/RTCP |
dc.subject.other | Media |
dc.subject.other | Bitrate |
dc.subject.other | Stream allocation |
dc.title | Load and video performance patterns of a cloud based WebRTC architecture |
dc.type | Conference lecture |
dc.subject.lemac | Computació en núvol |
dc.subject.lemac | Interacció persona-ordinador |
dc.subject.lemac | Temps real (Informàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts |
dc.identifier.doi | 10.1109/CCGRID.2017.118 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/7973771 |
dc.rights.access | Open Access |
local.identifier.drac | 23503973 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//TIN2013-47245-C2-1-R/ES/REDES COMUNITARIAS Y SERVICIOS CLOUD/ |
local.citation.author | Xhagjika, V.; Divorra, O.; Navarro, L.; Vlassov, V. |
local.citation.contributor | IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing |
local.citation.publicationName | 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2017: 14-17 May 2017, Madrid, Spain: proceedings |
local.citation.startingPage | 739 |
local.citation.endingPage | 744 |