An Efficient QoE-Aware HTTP Adaptive Streaming over Software Defined Networking

Thinh, Pham Hong; Dat, Nguyen Van; Nam, Pham Ngoc; Thanh, Nguyen Huu; Nguyen, Hien M.; Hương, Trương Thu

doi:10.1007/s11036-020-01543-1

Cited by 6 publications

(2 citation statements)

References 31 publications

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“…Pham Hong Thinh et al Thinh et al (2020) presented an architecture that incorporated bitrate adaptation and dynamic route allocation. On the client side, the adaptation logic of VBR videos streaming was built based on the MPEG-DASH standard.…”

Section: Related Workmentioning

confidence: 99%

Bandwidth Estimation and Optimized Bitrate Selection for Dynamic Adaptive Streaming Over HTTP Using RSI-GM and ISSO

Agal¹,

Gokani²

2021

International Journal of Computer Vision and Image Processing

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Dynamic Adaptive Streaming over HTTP (DASH) is an emerging solution that aims to standardize existing proprietary streaming systems. DASH specification defines the media presentation description (MPD), which describes a list of available content, URL addresses, and the segment format. High bandwidth demands in interactive streaming applications pose challenges in efficiently utilizing the available bandwidth. In this paper, a novel Relative Strength Index (RSI) with Geometric mean (GM) namely RSI-GM is proposed for estimating available bandwidth for DASH. The proposed work starts by taking the video as an input at the transmitter side and then the video compression is performed using the TRLE. Then MD5 hashing-based AES encryption is applied to the compressed video data to provide data security. Then RSI-GM is proposed to estimate the available bandwidth for DASH. Finally, after estimation, the bitrate for estimated bandwidth is selected optimally using the Improved Shark Smell Optimization (ISSO) algorithm.

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Section: Related Workmentioning

confidence: 99%

Bandwidth Estimation and Optimized Bitrate Selection for Dynamic Adaptive Streaming Over HTTP Using RSI-GM and ISSO

Agal¹,

Gokani²

2021

International Journal of Computer Vision and Image Processing

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“…In this paper, we design a new quality-selecting scheme based on the estimate buffer level so as to avoid video freezing. According to our previous work [34], we use Equation (3) to estimate the next buffer level, provided the client selects version j for segment i where S D is segment duration. RT T is the duration defined from the instant a client sends its request to the instant it receives a response and calculated by timestamps of the westward and eastward packets captured at the network card of the SDN controller.…”

Section: Proposed Adaptation Algorithmmentioning

confidence: 99%

QoE-aware Bandwidth Allocation for Multiple Video Streaming Players over HTTP and SDN

Thinh¹,

Huyền²,

Quang³

et al. 2020

Adv. sci. technol. eng. syst. j.

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For many years, the most popular technique for Internet video streaming is hypertext transfer protocol-based adaptive streaming, known as HAS (HTTP Adaptive Streaming). However, a seamless viewing experience can not be just simply guaranteed by HAS only. In the management network, the adaptation of HAS copes with a huge challenge since clientdriven schemes lead to unfair share of available bandwidth when multiple players request adaptive bitrates (i.e bandwidth) through a bottleneck network link. Each client's requesting to maximize its needed bandwidth leads to the competition of network resources. This causes great QoE (Quality of Experience) reduction in terms of main metrics for each player: fairness, efficiency, and stability. In this paper, we propose an integration scheme of bitrate adaptation and Software Defined Networking-based resource allocation that can improve the QoE of competing clients. Our experiments show that the proposed scheme increases at least 20% up to 124% in terms of QoE scores compared with some existing methods as well as gains smoother viewing experience than the solutions of the traditional Internet.

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RETRACTED ARTICLE: Cognitive linear discriminant regression computing technique for HTTP video services in SDN networks

Parameshachari

Gurumoorthy²,

Frnda

et al. 2021

Soft Comput

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An Efficient QoE-Aware HTTP Adaptive Streaming over Software Defined Networking

Cited by 6 publications

References 31 publications

Bandwidth Estimation and Optimized Bitrate Selection for Dynamic Adaptive Streaming Over HTTP Using RSI-GM and ISSO

Bandwidth Estimation and Optimized Bitrate Selection for Dynamic Adaptive Streaming Over HTTP Using RSI-GM and ISSO

QoE-aware Bandwidth Allocation for Multiple Video Streaming Players over HTTP and SDN

RETRACTED ARTICLE: Cognitive linear discriminant regression computing technique for HTTP video services in SDN networks

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