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QoE-aware sustainable throughput for energy-efficient video streaming
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kommunikationssystem.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kommunikationssystem.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för kommunikationssystem.
2016 (engelsk)Inngår i: Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016 / [ed] Cai Z.,Luo G.,Cheng L.,Angryk R.,Li Y.,Bourgeois A.,Song W.,Cao X.,Krishnamachari B., IEEE, 2016, s. 493-500Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This work motivates and details the concept of QoE-aware sustainable throughput in the area of video streaming. Sustainable throughput serves as a mean to compare video streaming solutions in terms of Quality of Experience (QoE) and energy efficiency (EE). It builds upon the QoE Provisioning-Delivery Hysteresis (PDH) and denotes the maximal throughput at which QoE deteriorations can be kept below a quantifiable level, which in turn allows to compare the EE of different video streaming solutions on QoE-fair grounds. In this work, we particularly focus on delivery problems stemming from outage-prone links, as they are typical for mobile systems. Well-adapted to the nature of the video-associated data streams and disturbances, a stochastic fluid flow model is used that allows for straightforward calculation of sustainable throughput values. We also discuss the application of the sustainable throughput for comparisons among different streaming solutions and their offered QoE and EE, respectively.

sted, utgiver, år, opplag, sider
IEEE, 2016. s. 493-500
Emneord [en]
Energy efficiency, Quality of experience, Quality of service, Stochastic fluid flow model, Big data, Cloud computing, Distributed computer systems, Flow of fluids, Stochastic models, Stochastic systems, Throughput, Video streaming, Data stream, Delivery problems, Energy efficient, Fluid flow modeling, Maximal throughput, Mobile systems, Quality of experience (QoE)
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-13649DOI: 10.1109/BDCloud-SocialCom-SustainCom.2016.78ISI: 000392516300067Scopus ID: 2-s2.0-85001022219ISBN: 9781509039364 (tryckt)OAI: oai:DiVA.org:bth-13649DiVA, id: diva2:1058466
Konferanse
6th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2016, 9th IEEE International Conference on Social Computing and Networking, SocialCom 2016 and 2016 IEEE International Conference on Sustainable Computing and Communications, SustainCom, Atlanta, USA
Prosjekter
CONVINcETilgjengelig fra: 2016-12-21 Laget: 2016-12-21 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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