Resource, data and application management for cloud federations and multi-clouds

Distributed Real-Time Media Processing refers to classes of highly distributed, delay no-tolerant applications that account for the majority of the data traffic generated in the world today. Real-Time audio/video conferencing and live content streaming are of particular research interests as technol...

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Detalles Bibliográficos
Autor: Xhagjika, Vamis
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/409728
Acceso en línea:http://hdl.handle.net/10803/409728
https://dx.doi.org/10.5821/dissertation-2117-108507
http://mediaserver.csuc.cat/tdx/documents/12/34/01/12340164269061990285650725595296607371/
Access Level:acceso abierto
Palabra clave:Àrees temàtiques de la UPC::Informàtica
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spelling Resource, data and application management for cloud federations and multi-cloudsXhagjika, VamisÀrees temàtiques de la UPC::Informàtica004Distributed Real-Time Media Processing refers to classes of highly distributed, delay no-tolerant applications that account for the majority of the data traffic generated in the world today. Real-Time audio/video conferencing and live content streaming are of particular research interests as technology forecasts predict video traffic surpassing every other type of data traffic in the world in the near future. These applications are very sensitive to both communication properties such as latency, jitter, packet loss, bit rate as well as backend stream processing load profiles. In this work we provide a novel and generalized large-scale Multi-Cloud architectural blueprint for ISP and Carrier providers, that permits smart geo-distributed service placement in order to optimize latency/locality of stream processing applications. We provide as a well self-managed Intra-Cloud federation algorithm based on gradient topologies in order to optimize routes in a live media streaming backend. Additionally we introduce a novel distributed Network Bandwidth Manager that optimizes system stability by arbitrating network bandwidth between multiple Cloud services sharing the same network infrastructure. At last, an empirical study is provided connecting media quality parameters and Cloud backend load profiles, including an algorithm for stream allocation on Cloud Selective Forwarding units.El procesamiento de medios en tiempo real distribuido se refiere a clases de aplicaciones altamente distribuidas, no tolerantes al retardo, que representan la mayoría del tráfico de datos generado en el mundo actual. Las conferencias de audio y video en tiempo real y la transmisión de contenido en vivo tienen especial interés en investigación, ya que la prospectiva tecnológica estima que el tráfico de video supere a cualquier otro tipo de tráfico de datos en el futuro cercano. La transmisión en vivo se refiere a aplicaciones en las que flujos de audio/vídeo de una fuente se han de entregar a un conjunto de destinos en lugares geográficos diferentes mientras se mantiene baja la latencia de entrega del flujo (como por ejemplo la cobertura de eventos en vivo). Las plataformas de conferencia en tiempo real son plataformas de aplicación que implementan comunicaciones de audio/video en tiempo real entre muchos participantes. Ambas categorías presentan una alta sensibilidad tanto al estado de la red (latencia, jitter, pérdida de paquetes, velocidad de bits) como a los perfiles de carga de la infraestructura de procesamiento de flujo (latencia y jitter introducidos durante el procesamiento en la nube de paquetes de datos multimedia). Esta tesis trata de mejorar el procesamiento de datos multimedia en tiempo real tanto en los parámetros de nivel de red como en las optimizaciones en la nube.DOCTORAT ERASMUS MUNDUS EN COMPUTACIÓ DISTRIBUÏDAUniversitat Politècnica de CatalunyaNavarro Moldes, LeandroVlassov, VladimirUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors201720172017info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersion141 p.application/pdfapplication/pdfhttp://hdl.handle.net/10803/409728https://dx.doi.org/10.5821/dissertation-2117-108507http://mediaserver.csuc.cat/tdx/documents/12/34/01/12340164269061990285650725595296607371/TDX (Tesis Doctorals en Xarxa)reponame:TDR. Tesis Doctorales en Redinstname:CBUC, CESCAInglésNota: Cotutela Universitat Politècnica de Catalunya i KTH Royal Institute of TechnologyVersió dipositada al KTH Royal Institute of Technologyurn:nbn:se:kth:diva-205986L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-sa/4.0/http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:www.tdx.cat:10803/4097282026-06-14T12:46:07Z
dc.title.none.fl_str_mv Resource, data and application management for cloud federations and multi-clouds
title Resource, data and application management for cloud federations and multi-clouds
spellingShingle Resource, data and application management for cloud federations and multi-clouds
Xhagjika, Vamis
Àrees temàtiques de la UPC::Informàtica
004
title_short Resource, data and application management for cloud federations and multi-clouds
title_full Resource, data and application management for cloud federations and multi-clouds
title_fullStr Resource, data and application management for cloud federations and multi-clouds
title_full_unstemmed Resource, data and application management for cloud federations and multi-clouds
title_sort Resource, data and application management for cloud federations and multi-clouds
dc.creator.none.fl_str_mv Xhagjika, Vamis
author Xhagjika, Vamis
author_facet Xhagjika, Vamis
author_role author
dc.contributor.none.fl_str_mv Navarro Moldes, Leandro
Vlassov, Vladimir
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.subject.none.fl_str_mv Àrees temàtiques de la UPC::Informàtica
004
topic Àrees temàtiques de la UPC::Informàtica
004
description Distributed Real-Time Media Processing refers to classes of highly distributed, delay no-tolerant applications that account for the majority of the data traffic generated in the world today. Real-Time audio/video conferencing and live content streaming are of particular research interests as technology forecasts predict video traffic surpassing every other type of data traffic in the world in the near future. These applications are very sensitive to both communication properties such as latency, jitter, packet loss, bit rate as well as backend stream processing load profiles. In this work we provide a novel and generalized large-scale Multi-Cloud architectural blueprint for ISP and Carrier providers, that permits smart geo-distributed service placement in order to optimize latency/locality of stream processing applications. We provide as a well self-managed Intra-Cloud federation algorithm based on gradient topologies in order to optimize routes in a live media streaming backend. Additionally we introduce a novel distributed Network Bandwidth Manager that optimizes system stability by arbitrating network bandwidth between multiple Cloud services sharing the same network infrastructure. At last, an empirical study is provided connecting media quality parameters and Cloud backend load profiles, including an algorithm for stream allocation on Cloud Selective Forwarding units.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017
2017
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/publishedVersion
format doctoralThesis
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10803/409728
https://dx.doi.org/10.5821/dissertation-2117-108507
http://mediaserver.csuc.cat/tdx/documents/12/34/01/12340164269061990285650725595296607371/
url http://hdl.handle.net/10803/409728
https://dx.doi.org/10.5821/dissertation-2117-108507
http://mediaserver.csuc.cat/tdx/documents/12/34/01/12340164269061990285650725595296607371/
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Nota: Cotutela Universitat Politècnica de Catalunya i KTH Royal Institute of Technology
Versió dipositada al KTH Royal Institute of Technology
urn:nbn:se:kth:diva-205986
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 141 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv TDX (Tesis Doctorals en Xarxa)
reponame:TDR. Tesis Doctorales en Red
instname:CBUC, CESCA
instname_str CBUC, CESCA
reponame_str TDR. Tesis Doctorales en Red
collection TDR. Tesis Doctorales en Red
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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