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Performance evaluation and testbed for delivering SRT live content using DASH Low Latency streaming systems

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Performance evaluation and testbed for delivering SRT live content using DASH Low Latency streaming systems

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dc.contributor.author Belda Ortega, Román es_ES
dc.contributor.author Arce Vila, Pau es_ES
dc.contributor.author De Fez, Ismael es_ES
dc.contributor.author Guerri Cebollada, Juan Carlos es_ES
dc.date.accessioned 2024-01-18T11:29:30Z
dc.date.available 2024-01-18T11:29:30Z
dc.date.issued 2022-10-28 es_ES
dc.identifier.isbn 978-1-4503-9483-3 es_ES
dc.identifier.uri http://hdl.handle.net/10251/202000
dc.description.abstract [EN] The work presented in this paper focuses on the implementation of a testbed for the evaluation of content distribution systems using LL-DASH (Low Latency DASH -Dynamic Adaptive Streaming over HTTP-) and devices that provide real-time sources or servers using real-time protocols, such as RTSP (Real Time Streaming Protocol) or SRT (Secure Reliable Transport). These protocols are widely used by IP (Internet Protocol) cameras or by production and transmission systems, such as OBS Studio or vMix. The objective is to show the necessary processes in detail (so they can be reproduced in future works related to low latency services) and to minimize the end-to-end delay, obtaining values in the order of 2 seconds or less. The implementation has been done using FFmpeg software, players like Dash.js or Shaka-Player and implementing a Python web server with LL-DASH support to optimize the transmission delay. es_ES
dc.description.sponsorship This work is supported by the Centro para el Desarrollo Tecnológico Industrial (CDTI) from the Government of Spain under the project Nueva plataforma a bordo basada en redes 5G y Wi-Fi 6 para medios de transporte terrestre (CDTI IDI20210624). es_ES
dc.language Inglés es_ES
dc.publisher ACM es_ES
dc.relation.ispartof PE-WASUN '22: Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject DASH Low Latency es_ES
dc.subject Live streaming es_ES
dc.subject Testbed es_ES
dc.subject Multimedia Software Open Source es_ES
dc.subject.classification INGENIERÍA TELEMÁTICA es_ES
dc.title Performance evaluation and testbed for delivering SRT live content using DASH Low Latency streaming systems es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1145/3551663.3558674 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CDTI//CDTI IDI-20210624/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Belda Ortega, R.; Arce Vila, P.; De Fez, I.; Guerri Cebollada, JC. (2022). Performance evaluation and testbed for delivering SRT live content using DASH Low Latency streaming systems. ACM. 115-121. https://doi.org/10.1145/3551663.3558674 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN 2022) es_ES
dc.relation.conferencedate Octubre 24-28,2022 es_ES
dc.relation.conferenceplace Montreal, Canada es_ES
dc.relation.publisherversion https://doi.org/10.1145/3551663.3558674 es_ES
dc.description.upvformatpinicio 115 es_ES
dc.description.upvformatpfin 121 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\485071 es_ES
dc.contributor.funder Centro para el Desarrollo Tecnológico Industrial es_ES


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