Transport capacity for a catch-up television service

Vleeschauwer, Danny De; Avramova, Zlatka; Wittevrongel, Sabine; Bruneel, Herwig

doi:10.1145/1542084.1542117

Cited by 7 publications

(6 citation statements)

References 10 publications

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“…More recently, Ager et al [2] studied the cacheability for HTTP-and P2P-based applications. There are also several studies of caching strategies in IPTV on-demand systems [1,5,20,21,23], but these studies use analytical models and simulations whereas we present a trace-based study from a real TV-on-Demand system.…”

Section: Related Workmentioning

confidence: 99%

Program popularity and viewer behaviour in a large TV-on-demand system

Abrahamsson

Nordmark

2012

Proceedings of the 2012 Internet Measurement Conference

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Today increasingly large volumes of TV and video are distributed over IP-networks and over the Internet. It is therefore essential for traffic and cache management to understand TV program popularity and access patterns in real networks.In this paper we study access patterns in a large TV-onDemand system over four months. We study user behaviour and program popularity and its impact on caching.The demand varies a lot in daily and weekly cycles. There are large peaks in demand, especially on Friday and Saturday evenings, that need to be handled.We see that the cacheability, the share of requests that are not first-time requests, is very high. Furthermore, there is a small set of programs that account for a large fraction of the requests. We also find that the share of requests for the top most popular programs grows during prime time, and the change rate among them decreases. This is important for caching. The cache hit ratio increases during prime time when the demand is the highest, and caching makes the biggest difference when it matters most.We also study the popularity (in terms of number of requests and rank) of individual programs and how that changes over time. Also, we see that the type of programs offered determines what the access pattern will look like.

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Section: Related Workmentioning

confidence: 99%

Program popularity and viewer behaviour in a large TV-on-demand system

Abrahamsson

Nordmark

2012

Proceedings of the 2012 Internet Measurement Conference

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“…It does represent an intrusion into personal privacy, as individual viewing habits can be tracked, although advertisers may benefit from this facility. Whereas terrestrial TV is limited to a fixed channel broadcast schedule, linear TV, IPTV can offer pause-TV (when a partially-viewed program is cached for later viewing), catch-up TV [1] and time-shifted TV (when a program is re-aired in a different time zone), as well as varieties of video-on-demand (VoD). It also opens up the possibility of interactive TV and hybrid TV (a combination of terrestrial broadcasting with network delivery).…”

Section: Introductionmentioning

confidence: 99%

Engineering wireless broadband access to IPTV

Al-Jobouri

Fleury

Ghanbari

2014

Journal of Visual Communication and Image Representation

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“…Whereas PT comes pretty close to its theoretical maximum if the number of end users is large enough [7], for RB it may be more difficult. One of the reasons is that there is a need for sufficient requests and ratings both from end users and for items over a sufficiently long period.…”

Section: Limitations Of the Theoretical Modelmentioning

confidence: 91%

“…As far as delivery is concerned, it is well known that content distribution networks (CDNs) can reduce the load on the Internet and within the network provider's network [7,15,16]. With respect to discovery, customers need help in finding content that interests them, especially as the amount of available content increases.…”

Section: Introductionmentioning

confidence: 99%

Optimizing for Video Storage Networking With Recommender Systems

Verhoeyen¹,

Vriendt²,

Vleeschauwer³

2012

Bell Labs Tech. J.

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Driven mainly by its adoption as a new media distribution platform for content providers and its ubiquitous availability for the end user's media production and consumption, the Internet is rapidly reshaping. In particular, the stakeholders in the content distribution market are considering exploiting content delivery networks (CDNs) Everywhere solution, telcos and multiple systems operators (MSOs) including AT&T, Verizon, and Comcast can now provide their customers with a whole new experience as they can now consume the content (hosted by the network provider) on fixed or mobile devices other than the TV set alone. As a consequence, these network providers can reach more customers with their content assets. Success with mobile TV offers also may be driven by the strong growth of video-enabled smartphones: 275 million video-enabled smartphones shipped in 2010 [14].At the same time, a variety of Internet video publishers, such as Netflix*, Hulu*, BBC iPlayer*, and also IntroductionThe Internet video world is undergoing a significant transformation as a wider set of content is offered for consumption over a wider set of devices.For video services offered by network providers, the following trends can be observed. Initially, many network providers deployed Internet Protocol television (IPTV) services in a walled garden environment. Apart from being a replacement for analog television (TV) distribution, IPTV also offers interactive and personalized services, including video on demand, network-based personal video recording, and time shift Apple TV* and Google TV*, have launched new video services. They are providing their content to their end users with little involvement of the network provider.Hybrid models also exist where a telco may offer a combination of digital TV and Internet video services, as described in [6]. In such a scenario, digital TV network providers will need to expand their offer by also offering access to Internet video. They have opportunities in that they can offer better quality of experience (QoE), multiscreen differentiators, have a customer base (and billing relationship), and can position themselves as the content aggregator of choice (simplicity to end user).The network provider (telco or MSO) can play a key role in both the content delivery and content discovery. As far as delivery is concerned, it is well known that content distribution networks (CDNs) can reduce the load on the Internet and within the network provider's network [7,15,16]. With respect to discovery, customers need help in finding content that interests them, especially as the amount of available content increases. Therefore, recommender systems are often integrated with video offerings to help the end user [1,3,9,13]. The use of recommenders for the purpose of caching has also been discussed in [10]. Since the network provider has a comprehensive view of the end user's content consumption, he is (potentially) well placed to recommend content. This paper combines both key roles of content discovery and content delivery...

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Transport capacity for a catch-up television service

Cited by 7 publications

References 10 publications

Program popularity and viewer behaviour in a large TV-on-demand system

Program popularity and viewer behaviour in a large TV-on-demand system

Engineering wireless broadband access to IPTV

Optimizing for Video Storage Networking With Recommender Systems

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