Recent work has shown how hard it is to pick a video streaming rate. Video service providers use heuristics to estimate the network capacity leading to unnecessary rebuffering events and suboptimal video quality. This paper argues that we should do away with estimating network capacity, and instead directly observe and control the playback buffer. We present a class of rate selection algorithms that allow us to optimize the delivered video quality while provably never unnecessarily rebuffering. Our algorithms work with discrete video rates, video chunking and for both CBR and VBR video codecs.
{"title":"Downton abbey without the hiccups: buffer-based rate adaptation for HTTP video streaming","authors":"Te-Yuan Huang, Ramesh Johari, N. McKeown","doi":"10.1145/2491172.2491179","DOIUrl":"https://doi.org/10.1145/2491172.2491179","url":null,"abstract":"Recent work has shown how hard it is to pick a video streaming rate. Video service providers use heuristics to estimate the network capacity leading to unnecessary rebuffering events and suboptimal video quality. This paper argues that we should do away with estimating network capacity, and instead directly observe and control the playback buffer. We present a class of rate selection algorithms that allow us to optimize the delivered video quality while provably never unnecessarily rebuffering. Our algorithms work with discrete video rates, video chunking and for both CBR and VBR video codecs.","PeriodicalId":130413,"journal":{"name":"Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115350866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For mobile multimedia communications, Quality of Service (QoS) is significantly important. In general it will incur costs to improve QoS. Regarding utility function of cost versus gain for an individual user, it is useful to evaluate relationship between cost such as energy consumption and gain such as QoS. Network operators or service providers could invest more resource facilities to improve QoS that will result in rising users' service fees. User cooperative mobility is one of key technology that does not select between cost and gain tradeoff, but provides the best solution.
{"title":"User cooperative mobility for better multimedia communication quality","authors":"T. Murase","doi":"10.1145/2491172.2491174","DOIUrl":"https://doi.org/10.1145/2491172.2491174","url":null,"abstract":"For mobile multimedia communications, Quality of Service (QoS) is significantly important. In general it will incur costs to improve QoS. Regarding utility function of cost versus gain for an individual user, it is useful to evaluate relationship between cost such as energy consumption and gain such as QoS. Network operators or service providers could invest more resource facilities to improve QoS that will result in rising users' service fees. User cooperative mobility is one of key technology that does not select between cost and gain tradeoff, but provides the best solution.","PeriodicalId":130413,"journal":{"name":"Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132420545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Human-Centric DTNs exhibit some degree of regularity on their temporal contact patterns. The impact of this regularity on network performances has not been well studied and analyzed. In this paper, we study this temporal dimension of Human-Centric DTNs and its impacts on routing performances. We propose a simple parametric network model which covers the full spectrum of contact patterns from strictly periodic to fully random ones. Based on this model, we study the impact of contact patterns regularity on routing performances and we show how to exploit the temporal structure to navigate with a good resource/performance tradeoff in Human-Centric DTNs. Simulation and analytical analysis show that efficient routing with respect to their degree of regularity emerge within a subset of dynamic networks. Moreover, we show there is a specific degree of regularity where routing performance achieves its optimum.
{"title":"How disorder impacts routing in human-centric disruption tolerant networks","authors":"A. Nguyen, P. Sénac, M. Diaz","doi":"10.1145/2491172.2491178","DOIUrl":"https://doi.org/10.1145/2491172.2491178","url":null,"abstract":"Human-Centric DTNs exhibit some degree of regularity on their temporal contact patterns. The impact of this regularity on network performances has not been well studied and analyzed. In this paper, we study this temporal dimension of Human-Centric DTNs and its impacts on routing performances. We propose a simple parametric network model which covers the full spectrum of contact patterns from strictly periodic to fully random ones. Based on this model, we study the impact of contact patterns regularity on routing performances and we show how to exploit the temporal structure to navigate with a good resource/performance tradeoff in Human-Centric DTNs. Simulation and analytical analysis show that efficient routing with respect to their degree of regularity emerge within a subset of dynamic networks. Moreover, we show there is a specific degree of regularity where routing performance achieves its optimum.","PeriodicalId":130413,"journal":{"name":"Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125250768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Panagiotis Georgopoulos, Yehia El-khatib, M. Broadbent, Mu Mu, N. Race
Video streaming is an increasingly popular way to consume media content. Adaptive video streaming is an emerging delivery technology which aims to increase user QoE and maximise connection utilisation. Many implementations naively estimate bandwidth from a one-sided client perspective, without taking into account other devices in the network. This behaviour results in unfairness and could potentially lower QoE for all clients. We propose an OpenFlow-assisted QoE Fairness Framework that aims to fairly maximise the QoE of multiple competing clients in a shared network environment. By leveraging a Software Defined Networking technology, such as OpenFlow, we provide a control plane that orchestrates this functionality. The evaluation of our approach in a home networking scenario introduces user-level fairness and network stability, and illustrates the optimisation of QoE across multiple devices in a network.
{"title":"Towards network-wide QoE fairness using openflow-assisted adaptive video streaming","authors":"Panagiotis Georgopoulos, Yehia El-khatib, M. Broadbent, Mu Mu, N. Race","doi":"10.1145/2491172.2491181","DOIUrl":"https://doi.org/10.1145/2491172.2491181","url":null,"abstract":"Video streaming is an increasingly popular way to consume media content. Adaptive video streaming is an emerging delivery technology which aims to increase user QoE and maximise connection utilisation. Many implementations naively estimate bandwidth from a one-sided client perspective, without taking into account other devices in the network. This behaviour results in unfairness and could potentially lower QoE for all clients. We propose an OpenFlow-assisted QoE Fairness Framework that aims to fairly maximise the QoE of multiple competing clients in a shared network environment. By leveraging a Software Defined Networking technology, such as OpenFlow, we provide a control plane that orchestrates this functionality. The evaluation of our approach in a home networking scenario introduces user-level fairness and network stability, and illustrates the optimisation of QoE across multiple devices in a network.","PeriodicalId":130413,"journal":{"name":"Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131146168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vengatanathan Krishnamoorthi, Patrik Bergström, Niklas Carlsson, D. Eager, A. Mahanti, N. Shahmehri
This paper presents the design, implementation, and validation of a novel system that supports streaming and playout of personalized, multi-path, nonlinear video. In contrast to regular video, in which the file content is played sequentially, our design allows multiple nonlinear video sequences of the underlying (linear) video to be stitched together and played in any personalized order, and clients can be provided multiple path choices. The design combines the ideas of HTTP-based adaptive streaming (HAS) and multi-path nonlinear video. Personalization of the content is achieved with the use of a customized metafile, which is downloaded separately from the underlying media and the manifest file that defines the HAS structure. An extension to the user interface allows path choices to be presented to and made by the user. Novel buffer management and prefetching policies are used to ensure seamless uninterrupted playback regardless of client path choices, even under scenarios in which clients defer their choices until the last possible moment. Our solution allows creative home users to easily create their own multi-path nonlinear video, opening the door to an endless possibility of new opportunities and media forms.
{"title":"Empowering the creative user: personalized HTTP-based adaptive streaming of multi-path nonlinear video","authors":"Vengatanathan Krishnamoorthi, Patrik Bergström, Niklas Carlsson, D. Eager, A. Mahanti, N. Shahmehri","doi":"10.1145/2491172.2491183","DOIUrl":"https://doi.org/10.1145/2491172.2491183","url":null,"abstract":"This paper presents the design, implementation, and validation of a novel system that supports streaming and playout of personalized, multi-path, nonlinear video. In contrast to regular video, in which the file content is played sequentially, our design allows multiple nonlinear video sequences of the underlying (linear) video to be stitched together and played in any personalized order, and clients can be provided multiple path choices. The design combines the ideas of HTTP-based adaptive streaming (HAS) and multi-path nonlinear video. Personalization of the content is achieved with the use of a customized metafile, which is downloaded separately from the underlying media and the manifest file that defines the HAS structure. An extension to the user interface allows path choices to be presented to and made by the user. Novel buffer management and prefetching policies are used to ensure seamless uninterrupted playback regardless of client path choices, even under scenarios in which clients defer their choices until the last possible moment. Our solution allows creative home users to easily create their own multi-path nonlinear video, opening the door to an endless possibility of new opportunities and media forms.","PeriodicalId":130413,"journal":{"name":"Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133819128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Within the current paradigm change from Quality-of-Service (QoS) towards Quality-of-Experience (QoE), the question of how to charge for QoE is widely neglected in the research community despite of its obvious importance. In this paper, we present and analyze a fixed point model which specifically reflects the double role of prices, i.e. as regulating factor for demand size and at the same time as part of the QoE-based user context. The model is validated through comprehensive user trial results which allow interesting insights into the temporal behavior of end users who are confronted with a fine-grained scale of choices on video quality and corresponding tariffs.
{"title":"A fixed-point model for QoE-based charging","authors":"P. Reichl, P. Maillé, Patrick Zwickl, A. Sackl","doi":"10.1145/2491172.2491176","DOIUrl":"https://doi.org/10.1145/2491172.2491176","url":null,"abstract":"Within the current paradigm change from Quality-of-Service (QoS) towards Quality-of-Experience (QoE), the question of how to charge for QoE is widely neglected in the research community despite of its obvious importance. In this paper, we present and analyze a fixed point model which specifically reflects the double role of prices, i.e. as regulating factor for demand size and at the same time as part of the QoE-based user context. The model is validated through comprehensive user trial results which allow interesting insights into the temporal behavior of end users who are confronted with a fine-grained scale of choices on video quality and corresponding tariffs.","PeriodicalId":130413,"journal":{"name":"Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131519818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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