Can context monitoring improve QoE? A case study of video flash crowds in the internet of services

Hosfeld, Tobias; Skorin‐Kapov, Lea; Haddad, Yoram; Počta, Peter; Siris, Vasilios A.; Žgank, Andrej; Melvin, Hugh

doi:10.1109/inm.2015.7140480

Cited by 17 publications

(11 citation statements)

References 11 publications

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“…In addition, there are several components within the context of CDNs that are research fields in their own right, including server placement, request routing [90], replica selection [91], pricing, caching within CDNs, and many more [92]. Finally, it has also been shown that load balancing within CDN clusters can be optimized by utilizing third-party information, such as popularity of videos on social networks [93].…”

Section: Content Delivery Networkmentioning

confidence: 99%

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Krishnamoorthi¹

2018

Linköping Studies in Science and Technology. Dissertations

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Online video streaming has gained tremendous popularity over recent years and currently constitutes the majority of Internet traffic. As large-scale ondemand streaming continues to gain popularity, several important questions and challenges remain unanswered. This thesis addresses open questions in the areas of efficient content delivery for HTTP-based Adaptive Streaming (HAS) from different perspectives (client, network and content provider) and in the design, implementation, and evaluation of interactive streaming applications over HAS.As streaming usage scales and new streaming services emerge, continuous improvements are required to both the infrastructure and the techniques used to deliver high-quality streams. In the context of Content Delivery Network (CDN) nodes or proxies, this thesis investigates the interaction between HAS clients and proxy caches. In particular, we propose and evaluate classes of content-aware and collaborative policies that take advantage of information that is already available, or share information among elements in the delivery chain, where all involved parties can benefit. Asides from the users' playback experience, it is also important for content providers to minimize users' startup times. We have designed and evaluated different classes of client-side policies that can prefetch data from the videos that the users are most likely to watch next, without negatively affecting the currently watched video. To help network providers to monitor and ensure that their customers enjoy good playback experiences, we have proposed and evaluated techniques that can be used to estimate clients' current buffer conditions. Since several services today stream over HTTPS, our solution is adapted to predict client buffer conditions by only observing encrypted network-level traffic. Our solution allows the operator to identify clients with low-buffer conditions and implement policies that help avoid playback stalls.The emergence of HAS as the de facto standard for delivering streaming content also opens the door to use it to deliver the next generation of streaming services, such as various forms of interactive services. This class of services is gaining popularity and is expected to be the next big thing in entertainment. For the area of interactive streaming, this thesis proposes, models, designs, and evaluates novel streaming applications such as interactive branched videos and multi-video stream bundles. For these applications, we design and evaluate careful prefetching policies that provides seamless playback (without stalls or switching delay) even when interactive branched video viewers defer their choices to the last possible moment and when users switches between alternative streams within multi-video stream bundles. Using optimization frameworks, we design and implement effective buffer management techniques for seamless playback experiences and evaluate several tradeoffs using our policies. Populärvetenskaplig sammanfattningInternet och World Wide Web (WWW) har vuxit till vik...

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Section: Content Delivery Networkmentioning

confidence: 99%

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Krishnamoorthi¹

2018

Linköping Studies in Science and Technology. Dissertations

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“…The potential of context monitoring for video streaming was assessed, e.g., in simulation studies in [22,25] on which this section is based. In the papers' scenario, a flash crowd of users watching the same video is examined.…”

Section: Use Case: Video Flash Crowd and Qoementioning

confidence: 99%

Context Monitoring for Improved System Performance and QoE

Metzger

Hoßfeld

Skorin‐Kapov

et al. 2018

Lecture Notes in Computer Science

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Whereas some application domains show a certain consensus on the role of system factors, human factors, and context factors, QoE management of multimedia systems and services is still faced with the challenge of identifying the key QoE influence factors. In this chapter, we focus on the potential of enhancing QoE management mechanisms by exploiting valuable context information.To get a good grip on the basics we first discuss a general framework for context monitoring and define context information, including technical, usage, social, economic, temporal, and physical factors. We then iterate the opportunities and challenges in involving context in QoE monitoring solutions, as context may be, e.g., hard to ascertain or very situational.

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“…Second, the network can actualize control decisions exploiting the current context. For instance, it can exploit information about flash crowd formation to drive an effective Content Distribution Network (CDN) load balancing strategy [10] or, more generally, to take control decisions proactively based on context information about the near future. Finally, context-awareness can help to take decisions with the objective to increase the network efficiency as measured in spectrum, energy, processing resources, etc., and consequently to reduce operational expenses.…”

Section: Context-aware Management and Controlmentioning

confidence: 99%

The Value of Context-Awareness in Bandwidth-Challenging HTTP Adaptive Streaming Scenarios

Liotou¹,

Hoßfeld

Moldovan

et al. 2018

Lecture Notes in Computer Science

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Video streaming has become an indispensable technology in people's lives, while its usage keeps constantly increasing. The variability, instability and unpredictability of network conditions pose one of the biggest challenges to video streaming. In this chapter, we analyze HTTP Adaptive Streaming, a technology that relieves these issues by adapting the video reproduction to the current network conditions. Particularly, we study how context awareness can be combined with the adaptive streaming logic to design a proactive client-based video streaming strategy. Our results show that such a context-aware strategy manages to successfully mitigate stallings in light of network connectivity problems, such as an outage. Moreover, we analyze the performance of this strategy by comparing it to the optimal case, as well as by considering situations where the awareness of the context lacks reliability.

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Can context monitoring improve QoE? A case study of video flash crowds in the internet of services

Cited by 17 publications

References 11 publications

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Efficient HTTP-based Adaptive Streaming of Linear and Interactive Videos

Context Monitoring for Improved System Performance and QoE

The Value of Context-Awareness in Bandwidth-Challenging HTTP Adaptive Streaming Scenarios

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