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Optimization Algorithm for IPTV Video Service Delivery over SDN Using MEC Technology

  • Steve Manariyo
  • Abdukodir Khakimov
  • Darya Pyatkina
  • Ammar MuthannaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11118)

Abstract

Management of video content distribution through files allocation or caching in content delivery networks with some degree of reliable security measures is representing a big issue in video service delivery and user’s requirements for quality of experience provision are constantly tightened. Operators are looking for new ways to efficiently deliver video content to specific customers or classes of customers, which allow the transfer of large amounts of traffic with the appropriate quality of experience. Mobile Edge Computing (MEC), initiated as an Industry Specification Group (ISG) within ETSI, is quickly gaining traction as a disruptive technology that promises to bring applications and content closer to the network edge, a move that will reduce latency and make new services optimization possible. The aim of this thesis is to provide optimization algorithms for accessing IPTV video services in managed way over Software-defined Networking (SDN) to meet the high Quality of service (QoS) reducing network latency and, ultimately, improving the end consumer’s quality of experience (QoE). We also show the positive impact of SDN network using our algorithm noticeably reducing video delay.

Keywords

IPTV Video traffic Software-Defined network (SDN) Mobile Edge Computing (MEC) Quality of Experience (QoE) Optimization algorithm 

Notes

Acknowledgment

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

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Steve Manariyo
    • 1
  • Abdukodir Khakimov
    • 1
  • Darya Pyatkina
    • 2
  • Ammar Muthanna
    • 1
    • 2
    Email author
  1. 1.St. Petersburg State University of TelecommunicationSt. PetersburgRussia
  2. 2.Peoples’ Friendship University of Russia (RUDN University)MoscowRussia

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