| 1. |
- Andersson, Jens A, et al.
(author)
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User profiling for pre-fetching or caching in a catch-up TV network
- 2016
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In: 2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). - 9781467390446
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Conference paper (peer-reviewed)abstract
- We investigate the potential of different pre-fetching and/or caching strategies for different user behaviour with respect to surfing or browsing in a catch-up-TV network. To this end we identify accounts and channels associated with strong or weak surfing or browsing respectively and study the distributions of hold times for the different types of behaviour. Finally we present results from a request prediction model and a caching simulation for the different types of behaviour and find that the results are relatively similar.
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| 2. |
- Arvidsson, Åke, 1957-, et al.
(author)
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Analysis of user demand patterns and locality for YouTube traffic
- 2013
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In: 25th International Teletraffic Congress. - : IEEE Communications Society. - 9781479907991
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Conference paper (peer-reviewed)abstract
- Video content, of which YouTube is a major part, constitutes a large share of residential Internet traffic. In this paper, we analyse the user demand patterns for YouTube in two metropolitan access networks with more than 1 million requestsover three consecutive weeks in the first network and more than 600,000 requests over four consecutive weeks in the second network.In particular we examine the existence of “local interest communities”, i.e. the extent to which users living closer to each other tend to request the same content to a higher degree, and it is found that this applies to (i) the two networks themselves; (ii) regions within these networks (iii) households with regions and (iv) terminals within households. We also find that different types of access devices (PCs and handhelds) tend to form similar interest communities.It is also found that repeats are (i) “self-generating” in the sense that the more times a clip has been played, the higher the probability of playing it again, (ii) “long-lasting” in the sense that repeats can occur even after several days and (iii) “semi regular”in the sense that replays have a noticeable tendency tooccur with relatively constant intervals.The implications of these findings are that the benefits from large groups of users in terms of caching gain may be exaggerated, since users are different depending on where they live and what equipment they use, and that high gains can be achieved in relatively small groups or even for individual users thanks totheir relatively predictable behaviour.
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| 3. |
- Arvidsson, Åke, et al.
(author)
-
Analysis of user demand patterns and locality for YouTube traffic
- 2013
-
In: In the Proceedings of the 25th International Teletraffic Congress (ITC).
-
Conference paper (peer-reviewed)abstract
- Video content, of which YouTube is a major part, constitutes a large share of residential Internet traffic. In this paper, we analyse the user demand patterns for YouTube in two metropolitan access networks with more than 1 million requests over three consecutive weeks in the first network and more than 600,000 requests over four consecutive weeks in the second network. In particular we examine the existence of "local interest communities", i.e. the extent to which users living closer to each other tend to request the same content to a higher degree, and it is found that this applies to (i) the two networks themselves; (ii) regions within these networks (iii) households with regions and (iv) terminals within households. We also find that different types of access devices (PCs and handhelds) tend to form similar interest communities. It is also found that repeats are (i) "self-generating" in the sense that the more times a clip has been played, the higher the probability of playing it again, (ii) "long-lasting" in the sense that repeats can occur even after several days and (iii) "semiregular" in the sense that replays have a noticeable tendency to occur with relatively constant intervals. The implications of these findings are that the benefits from large groups of users in terms of caching gain may be exaggerated, since users are different depending on where they live and what equipment they use, and that high gains can be achieved in relatively small groups or even for individual users thanks to their relatively predictable behaviour.
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| 4. |
- Du, Manxing, et al.
(author)
-
Analysis of prefetching schemes for TV-on-Demand service
- 2015
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In: ICDT 2015 : the Tenth International Conference on Digital Telecommunications. - : International Academy, Research and Industry Association (IARIA). - 9781612083964
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Conference paper (peer-reviewed)abstract
- TV-on-Demand service has become one of the most popular Internet applications that continuously attracts higher user interests. With rapidly increasing user demand, the existing network conditions may not be able to ensure low start-up delay of video playback. Prefetching has been broadly investigated to cope with the start-up latency problem which is also known as user perceived latency. In this paper, we analyse request patterns for TV programs from a popular Swedish TV service provider over 11 weeks. According to the analysis, we propose a prefetching scheme at the user end to preload videos before user requests. Our prefetching scheme significantly improves the cache hit ratio compared to terminal caching and we note that there is a potential to further improve prefetching performance by customizing prefetching schemes for different video categories. We further present a cost model to determine the optimal number of videos to prefetch. Finally, we discuss available time for prefetching and suggest that when to make prefetching decisions depends on the user demand patterns of different video categories.
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| 5. |
- Du, Manxing, et al.
(author)
-
Analysis of prefetching schemes for TV-on-Demand service
- 2015
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In: ICDT 2015. - 9781612083964 ; , s. 12-18
-
Conference paper (peer-reviewed)abstract
- TV-on-Demand service has become one of the most popular Internet applications that continuously attracts higher user interests. With rapidly increasing user demand, the existing network conditions may not be able to ensure low start-up delay of video playback. Prefetching has been broadly investigated to cope with the start-up latency problem which is also known as user perceived latency. In this paper, we analyse request patterns for TV programs from a popular Swedish TV service provider over 11 weeks. According to the analysis, we propose a prefetching scheme at the user end to preload videos before user requests. Our prefetching scheme significantly improves the cache hit ratio compared to terminal caching and we note that there is a potential to further improve prefetching performance by customizing prefetching schemes for different video categories. We further present a cost model to determine the optimal number of videos to prefetch. Finally, we discuss available time for prefetching and suggest that when to make prefetching decisions depends on the user demand patterns of different video categories.
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| 6. |
- Du, Manxing, et al.
(author)
-
Prefetching schemes and performance analysis for TV on demand services
- 2015
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In: International Journal On Advances in Telecommunications. - 1942-2601 .- 1942-2601. ; 8:3&4, s. 162-172
-
Journal article (peer-reviewed)abstract
- TV-on-Demand services have become one of the most popular Internet applications that continuously attracts high user interest. With rapidly increasing user demands, the existing network conditions may not be able to ensure a low start-up delay of video playback. Prefetching has been broadly investigated to cope with the start-up latency problem, which is also known as user perceived latency. In this paper, two datasets from different IPTV providers are used to analyse the TV program request patterns. According to the results, we propose a prefetching scheme at the user end to preload videos before user requests. For both datasets, our prefetching scheme significantly improves the cache hit ratio compared to passive caching and we note that there is a potential to further improve prefetching performance by customizing prefetching schemes for different video categories. We further present a cost model to determine the optimal number of videos to prefetch. We also discuss if there is enough time for prefetching. Finally, more factors, which may have an impact onoptimizing prefetching performance, are further discussed, such as the jump patterns over different time in a day and the the distribution of each video’s viewing length.
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| 7. |
- Du, Manxing, et al.
(author)
-
Prefetching Schemes and Performance Analysis for TV on Demand Services
- 2015
-
In: International Journal on Advances in Telecommunications. - 1942-2601. ; 8:3&4, s. 162-172
-
Journal article (peer-reviewed)abstract
- TV-on-Demand services have become one of the most popular Internet applications that continuously attracts high user interest. With rapidly increasing user demands, the existing network conditions may not be able to ensure a low start-up delay of video playback. Prefetching has been broadly investigated to cope with the start-up latency problem, which is also known as user perceived latency. In this paper, two datasets from different IPTV providers are used to analyse the TV program request patterns. According to the results, we propose a prefetching scheme at the user end to preload videos before user requests. For both datasets, our prefetching scheme significantly improves the cache hit ratio compared to passive caching and we note that there is a potential to further improve prefetching performance by customizing prefetching schemes for different video categories. We further present a cost model to determine the optimal number of videos to prefetch. We also discuss if there is enough time for prefetching. Finally, more factors, which may have an impact on optimizing prefetching performance, are further discussed, such as the jump patterns over different time in a day and the the distribution of each video’s viewing length.
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| 8. |
- Kothandaraman, Babu, et al.
(author)
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Centrally controlled distributed VNF state management
- 2015
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In: Proceedings of the 2015 ACM SIGCOMM Workshop on Hot Topics in Middleboxes and Network Function Virtualization (HotMiddlebox '15). - New York, NY, USA : ACM. - 9781450335409 ; , s. 37-42
-
Conference paper (peer-reviewed)abstract
- The realization of increased service flexibility and scalability through the combination of Virtual Network Functions (VNF) and Software Defined Networks (SDN) requires careful management of both VNF and forwarding state. Without coordination, service scalability comes at a high cost due to unacceptable levels of packet loss, reordering and increased latencies. Previously developed techniques has shown that these issues can be managed, at least in scenarios with low traffic rates and optimistic control plane latencies. In this paper we extend previous work on coordinated state management in order to remove performance bottlenecks, this is done through distributed state management and minimizing control plane interactions. Evaluation of our changes show substantial performance gains using a distributed approach while maintaining centralized control.
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| 9. |
- Laulajainen, Jukka Pekka, et al.
(author)
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Study of YouTube demand patterns in mixed public and campus WiFi network
- 2014
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In: IWCMC 2014 - 10th International Wireless Communications and Mobile Computing Conference. - 9781479909599 ; , s. 635-641
-
Conference paper (peer-reviewed)abstract
- In this paper we study traffic patterns in a large municipal WiFi network and in particular those of the most bandwidth hungry application, viz. YouTube, for which we provide a detailed analysis of demand in different geographical areas and over time. We consider the possibilities to reduce network traffic and increase Quality of Experience (QoE) by serving repeated requests for YouTube videos from caches placed either at the network head end, at the wireless access points, or in the user devices. Our data confirms that a significant part of the YouTube traffic can be served by such devices and that there exists a potential to optimize caching performance by exploiting the content demand locality. We also discover a previously unknown pattern of periodicity in content demand and present a simple example of how to exploit this in cache design
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| 10. |
- Li, Jie, et al.
(author)
-
A five year perspective of traffic pattern evolution in a residential broadband access network
- 2012
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In: Future Network & MobileSummit 2012. - 9781905824304
-
Conference paper (peer-reviewed)abstract
- In this paper we describe a systematic study on long-term evolution of residential broadband Internet traffic covering 5 calendar years from June 2007 to May 2011. The traffic evolution is characterized both in the term of the total traffic volume, as well as the traffic volumes and shares for different application categories (file sharing, video streaming etc.), with the focus on comparing the traffic on the per IP user basis and among different broadband subscription groups. The results show that the average daily total traffic generated by each private end user increased only by about 33 % during the past 5 years. Further, the results show that the P2P filesharing has been dominating the network total traffic, but the daily file-sharing traffic volume per end user largely remains the same. Also, the daily streaming-media traffic volume per end user has increased dramatically by over 500% during the studied period of time. In the meantime, the daily web-browsing traffic volume per end user has increased by about 300%. Finally, a further investigation among 4 different FTTH broadband subscription groups with 1, 10 , 30, and 100 Mbit/s symmetric access speeds shows that the lower the access speed, the more diversified the end user traffic tend to be.
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