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Categorization-based video streaming for traffic mitigation in content delivery services

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Abstract

This paper presents a categorization-based video streaming approach (CVS) to mitigate the Internet traffic in content delivery services. The CVS uses the statistical information related to the users’ view patterns (i.e., the average view duration in accordance with the playback time of the content) to adjust the request period of content chunks. Therefore, it can reduce the amount of Internet traffic by reducing unnecessary chunk requests and content chunks. The operation of the CVS is based on the average view duration provided by the content provider (CP). However, even if the CP does not provide the average view duration of the content, the CVS can properly predict the average view duration by using the content categorization and adjust the request period of content chunks. The simulation results show that the CVS achieves better performance in terms of the average waste ratio of network resources, the amount of network traffic, and the number of chunk requests.

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Acknowledgments

This research was supported by the Leading Human Resource Training Program of Regional Neo Industry through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2016H1D5A1910427). This work was also supported by NRF (National Research Foundation of Korea) Grant funded by the Korean Government (NRF-2016-Fostering Core Leaders of the Future Basic Science Program/Global Ph.D. Fellowship Program) (2016H1A2A1908620).

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Authors and Affiliations

  1. Department of Information and Communications Engineering, Tongmyong University, 428 Sinseon-ro, Nam-gu, Busan, 48520, South Korea

    Tae-Kook Kim

  2. Department of Convergence Software, Hallym University, 1 Hallymdaehak-gil, Chuncheon-si, Gangwon-do, 24252, South Korea

    Jung-Hyok Kwon & Eui-Jik Kim

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  1. Tae-Kook Kim
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  2. Jung-Hyok Kwon
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Correspondence to Eui-Jik Kim.

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Kim, TK., Kwon, JH. & Kim, EJ. Categorization-based video streaming for traffic mitigation in content delivery services. Multimed Tools Appl 76, 25495–25510 (2017). https://doi.org/10.1007/s11042-017-4770-2

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  • DOI: https://doi.org/10.1007/s11042-017-4770-2

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