Exploiting user preferences to reduce bandwidth requirements for VoD services with client caching
Abstract Internet traffic is already dominated by video streaming applications. The quality of transmitted videos and the number of content available online is expected to increase in the upcoming years, which will further pressure the available network infrastructures. In this scenario, Video‐on‐De...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-04-01
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| Series: | IET Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cmu2.12118 |
| _version_ | 1818532682876846080 |
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| author | Felipe Alex Pinto Evelio Martín García Fernández Carlos Marcelo Pedroso |
| author_facet | Felipe Alex Pinto Evelio Martín García Fernández Carlos Marcelo Pedroso |
| author_sort | Felipe Alex Pinto |
| collection | DOAJ |
| description | Abstract Internet traffic is already dominated by video streaming applications. The quality of transmitted videos and the number of content available online is expected to increase in the upcoming years, which will further pressure the available network infrastructures. In this scenario, Video‐on‐Demand services require that distribution mechanisms improve the efficiency of video transmission, which impacts the network performance and system scalability. The efficiency of distribution is strongly related to the operating costs of the providers of such services. The most efficient methods available for Video‐on‐Demand distribution use strategies that combine multicast transmission and the storage capacity of the user's equipment. This paper presents a new method for Video‐on‐Demand distribution that explores the client storage capabilities by modelling the users' preferences with a Hidden Markov Model. The efficiency of the proposed method is demonstrated through computational simulations of different scenarios, including a sample of real users' activity. Our results indicate that the proposed scheme substantially outperforms the current Video‐on‐Demand distribution mechanisms in terms of network bandwidth consumption, significantly reducing operation costs by improving the system scalability. |
| first_indexed | 2024-12-11T17:48:43Z |
| format | Article |
| id | doaj.art-e71e011e16434de1b5264c366839f705 |
| institution | Directory Open Access Journal |
| issn | 1751-8628 1751-8636 |
| language | English |
| last_indexed | 2024-12-11T17:48:43Z |
| publishDate | 2021-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Communications |
| spelling | doaj.art-e71e011e16434de1b5264c366839f7052022-12-22T00:56:18ZengWileyIET Communications1751-86281751-86362021-04-0115676377010.1049/cmu2.12118Exploiting user preferences to reduce bandwidth requirements for VoD services with client cachingFelipe Alex Pinto0Evelio Martín García Fernández1Carlos Marcelo Pedroso2Department of Electrical Engineering Federal University of Parana Curitiba BrazilDepartment of Electrical Engineering Federal University of Parana Curitiba BrazilDepartment of Electrical Engineering Federal University of Parana Curitiba BrazilAbstract Internet traffic is already dominated by video streaming applications. The quality of transmitted videos and the number of content available online is expected to increase in the upcoming years, which will further pressure the available network infrastructures. In this scenario, Video‐on‐Demand services require that distribution mechanisms improve the efficiency of video transmission, which impacts the network performance and system scalability. The efficiency of distribution is strongly related to the operating costs of the providers of such services. The most efficient methods available for Video‐on‐Demand distribution use strategies that combine multicast transmission and the storage capacity of the user's equipment. This paper presents a new method for Video‐on‐Demand distribution that explores the client storage capabilities by modelling the users' preferences with a Hidden Markov Model. The efficiency of the proposed method is demonstrated through computational simulations of different scenarios, including a sample of real users' activity. Our results indicate that the proposed scheme substantially outperforms the current Video‐on‐Demand distribution mechanisms in terms of network bandwidth consumption, significantly reducing operation costs by improving the system scalability.https://doi.org/10.1049/cmu2.12118Computer communicationsMarkov processesVideo on demand and video servers |
| spellingShingle | Felipe Alex Pinto Evelio Martín García Fernández Carlos Marcelo Pedroso Exploiting user preferences to reduce bandwidth requirements for VoD services with client caching IET Communications Computer communications Markov processes Video on demand and video servers |
| title | Exploiting user preferences to reduce bandwidth requirements for VoD services with client caching |
| title_full | Exploiting user preferences to reduce bandwidth requirements for VoD services with client caching |
| title_fullStr | Exploiting user preferences to reduce bandwidth requirements for VoD services with client caching |
| title_full_unstemmed | Exploiting user preferences to reduce bandwidth requirements for VoD services with client caching |
| title_short | Exploiting user preferences to reduce bandwidth requirements for VoD services with client caching |
| title_sort | exploiting user preferences to reduce bandwidth requirements for vod services with client caching |
| topic | Computer communications Markov processes Video on demand and video servers |
| url | https://doi.org/10.1049/cmu2.12118 |
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