A Survey on QoE Management Schemes for HTTP Adaptive Video Streaming: Challenges, Solutions, and Opportunities

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Tarih

2024

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Institute of Electrical and Electronics Engineers Inc

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

With the emergence of new video streaming technologies, advancements in networking paradigms, and the increasing popularity of mobile and smart devices, we are witnessing phenomenal growth in live video traffic over the Internet. To effectively address the explosive growth of multimedia applications over the Internet, it is crucial to consider scalability, quality, and security. The reliability of HTTP Adaptive Streaming (HAS), which leverages TCP, encourages many Over-the-Top (OTT) providers to adopt progressive streaming technology. Monitoring network traffic patterns and client behaviors provides client-side players with greater intelligence to adapt suitable video quality. However, the inflexibility and inefficiency of legacy networks and streaming applications often diminish the perceived streaming quality for clients. This study aims to explore the interplay between machine learning, emerging network architectures, and streaming technology paradigms. Furthermore, it survey the technical challenges within the adaptive video streaming and content delivery technologies, where adaptive streaming leverages advancements in network and artificial intelligence paradigms, edge computing, and NFV-SDN technologies to better adapt to network dynamics and enhance Quality of Experience (QoE). This study focuses exclusively on papers published in the last five years. © 2024 IEEE.

Açıklama

Anahtar Kelimeler

Adaptive Video Streaming, CDN, Edge Computing, Multimedia System, NFV-SDN, Video Codec

Kaynak

IEEE Access

WoS Q Değeri

Q2

Scopus Q Değeri

Q1

Cilt

12

Sayı

Künye

Kalan, R., & Dulger, I. (2024). A Survey on QoE Management Schemes for HTTP Adaptive Video Streaming: Challenges, Solutions, and Opportunities. IEEE Access.