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

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. © Springer Nature Switzerland AG 2018.

Авторы
Manariyo S.1 , Khakimov A.1 , Pyatkina D. 2 , Muthanna A. 1, 2
Язык
Английский
Страницы
419-427
Статус
Опубликовано
Том
11118 LNCS
Год
2018
Организации
  • 1 St. Petersburg State University of Telecommunication, 22 Prospekt Bolshevikov, St. Petersburg, 193232, Russian Federation
  • 2 Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, Moscow, 117198, Russian Federation
Ключевые слова
IPTV; Mobile Edge Computing (MEC); Optimization algorithm; Quality of Experience (QoE); Software-Defined network (SDN); Video traffic
Дата создания
04.02.2019
Дата изменения
04.02.2019
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/36433/
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