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Mobile Edge Computing for Video Application Migration

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2019, ruSMART 2019)

Abstract

Modern telecommunication networks show steady growth in the digital cable television and IPTV market. In today’s telecommunication networks most of the services are related to transmission of video traffic. For client’s loyalty operators are busy looking for new video delivery optimization methods with the appropriate quality of experience. MEC or Mobile edge computing offers significant advantages for example, enabling operators to bring applications and content closer to the network edge i.e. close to the video content end consumer and other advantages. This is particularly interesting in video delivery, where latency negatively affect video quality. Users can receive video content with minimum delays and operators can realize operational and cost efficiencies while reducing network latency and, ultimately improving the end consumer’s quality of experience. In this paper, a video content application migration method using edge-computing technology is proposed. The proposed method is applied in a managed mode over a Software-Defined Networking (SDN); what improves the efficiency of video traffic delivery. A new concept “Exchange” is introduced for flexible and automated interaction between video delivery chain members, i.e. the network operator, the content provider and the end user.

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Acknowledgment

The publication has been prepared with the support of the “RUDN University Program 5-100”.

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Correspondence to Ammar Muthanna .

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Manariyo, S., Poluektov, D., Abdukodir, K., Muthanna, A., Makolkina, M. (2019). Mobile Edge Computing for Video Application Migration. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2019 2019. Lecture Notes in Computer Science(), vol 11660. Springer, Cham. https://doi.org/10.1007/978-3-030-30859-9_49

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  • DOI: https://doi.org/10.1007/978-3-030-30859-9_49

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  • Print ISBN: 978-3-030-30858-2

  • Online ISBN: 978-3-030-30859-9

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