Proceedings of the 2012 Internet Measurement Conference 2012
DOI: 10.1145/2398776.2398798
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Program popularity and viewer behaviour in a large TV-on-demand system

Abstract: 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… Show more

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Cited by 51 publications
(56 citation statements)
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References 26 publications
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“…The live dataset consists of around 4.5 million users and 16 million video viewing sessions covering around 10,000 different events. As in several prior studies on content popularity [30,12], we also observe a heavy tailed Zipf distribution for overall popularity of objects for both VOD and live. Whereas most objects have few accesses over the two months, some extremely popular objects had significant viewership.…”
Section: Datasetsupporting
confidence: 82%
See 1 more Smart Citation
“…The live dataset consists of around 4.5 million users and 16 million video viewing sessions covering around 10,000 different events. As in several prior studies on content popularity [30,12], we also observe a heavy tailed Zipf distribution for overall popularity of objects for both VOD and live. Whereas most objects have few accesses over the two months, some extremely popular objects had significant viewership.…”
Section: Datasetsupporting
confidence: 82%
“…There have been studies to understand content popularity in user-generated content systems (e.g., [18,25]), IPTV systems (e.g., [13,34,12]), and other VOD systems (e.g., [27,30,21]). The focus of these studies was on understanding content popularity to enable efficient content caching and prefetching.…”
Section: Content Popularitymentioning
confidence: 99%
“…We use the cacheability definition proposed by Ager et al [2] and used in other works [1,16], where k i denotes the total number of requests for video i, and n is the number of unique videos requested:…”
Section: Resultsmentioning
confidence: 99%
“…[2] Those video archives represent a vital component of the world's heritage and when combined with novel computing technologies have contributed to conceive new services around television and video platforms, such as Interactive TV [3] and Internet Television. [4][5][6] Specifically, when the Internet environment is considered, some challenging aspects must be faced with respect to procedures to highlight and share program-related materials, as well as the inclusion of user-generated content.…”
Section: Introductionmentioning
confidence: 99%