SDNDASH: Improving QoE of HTTP Adaptive Streaming Using Software Defined Networking

Name: SDNDASH: Improving QoE of HTTP Adaptive Streaming Using Software Defined Networking
Author: Bentaleb, A., Beğen, Ali Cengiz, Zimmermann, R.

İsim	SDNDASH: Improving QoE of HTTP Adaptive Streaming Using Software Defined Networking
Yazar	Bentaleb, A., Beğen, Ali Cengiz, Zimmermann, R.
Basım Tarihi:	2016
Basım Yeri	- ACM
Konu	QoE, DASH, Bitrate adaptation logic, Scalability issues, SDN, OpenFlow, Convex optimization, MPC
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2-s2.0-84994577140
Kayıt Numarası	23f7ab75-f444-43ff-bfaf-006494a512ba
Lokasyon	Computer Science
Tarih	2016
Notlar	Singapore’s Ministry of Education
Örnek Metin	HTTP adaptive streaming (HAS) is being adopted with increasing frequency and becoming the de-facto standard for video streaming. However, the client-driven, on-off adaptation behavior of HAS results in uneven bandwidth competition and this is exacerbated when a large number of clients share the same bottleneck network link and compete for the available bandwidth. With HAS each client independently strives to maximize its individual share of the available bandwidth, which leads to bandwidth competition and a decrease in end-user quality of experience (QoE). The competition causes scalability issues, which are quality instability, unfair bandwidth sharing and network resource underutilization. We propose a new software defined networking (SDN) based dynamic resource allocation and management architecture for HAS systems, which aims to alleviate these scalability issues and improve the per-client QoE. Our architecture manages and allocates the network resources dynamically for each client based on its expected QoE. Experimental results show that the proposed architecture significantly enhances scalability by improving per-client QoE by at least 30% and supporting up to 80% more clients with the same QoE compared to the conventional schemes.
DOI	10.1145/2964284.2964332

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SDNDASH: Improving QoE of HTTP Adaptive Streaming Using Software Defined Networking

Yazar Bentaleb, A., Beğen, Ali Cengiz, Zimmermann, R.

Basım Tarihi 2016

Basım Yeri - ACM

Konu QoE, DASH, Bitrate adaptation logic, Scalability issues, SDN, OpenFlow, Convex optimization, MPC

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2-s2.0-84994577140

Kayıt Numarası 23f7ab75-f444-43ff-bfaf-006494a512ba

Lokasyon Computer Science

Tarih 2016

Notlar Singapore’s Ministry of Education

Örnek Metin HTTP adaptive streaming (HAS) is being adopted with increasing frequency and becoming the de-facto standard for video streaming. However, the client-driven, on-off adaptation behavior of HAS results in uneven bandwidth competition and this is exacerbated when a large number of clients share the same bottleneck network link and compete for the available bandwidth. With HAS each client independently strives to maximize its individual share of the available bandwidth, which leads to bandwidth competition and a decrease in end-user quality of experience (QoE). The competition causes scalability issues, which are quality instability, unfair bandwidth sharing and network resource underutilization. We propose a new software defined networking (SDN) based dynamic resource allocation and management architecture for HAS systems, which aims to alleviate these scalability issues and improve the per-client QoE. Our architecture manages and allocates the network resources dynamically for each client based on its expected QoE. Experimental results show that the proposed architecture significantly enhances scalability by improving per-client QoE by at least 30% and supporting up to 80% more clients with the same QoE compared to the conventional schemes.

DOI 10.1145/2964284.2964332