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

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dc.authorscopusidReza Kalan / 57193120327
dc.authorwosidReza Kalan / ADV-5944-2022
dc.contributor.authorKalan, Reza
dc.contributor.authorDülger, İsmail
dc.date.accessioned2025-04-18T09:44:47Z
dc.date.available2025-04-18T09:44:47Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractWith 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.
dc.identifier.citationKalan, R., & Dulger, I. (2024). A Survey on QoE Management Schemes for HTTP Adaptive Video Streaming: Challenges, Solutions, and Opportunities. IEEE Access.
dc.identifier.doi10.1109/ACCESS.2024.3491613
dc.identifier.endpage170839
dc.identifier.issn21693536
dc.identifier.scopusqualityQ1
dc.identifier.startpage170803
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2024.3491613
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6845
dc.identifier.volume12
dc.identifier.wosWOS:001362127900041
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorKalan, Reza
dc.institutionauthoridReza Kalan / 0000-0002-6587-0125
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc
dc.relation.ispartofIEEE Access
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAdaptive Video Streaming
dc.subjectCDN
dc.subjectEdge Computing
dc.subjectMultimedia System
dc.subjectNFV-SDN
dc.subjectVideo Codec
dc.titleA Survey on QoE Management Schemes for HTTP Adaptive Video Streaming: Challenges, Solutions, and Opportunities
dc.typeArticle

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