scholarly journals A Novel Approach for Enhancing Performance of VoD Systems

2018 ◽  
Vol 4 (4) ◽  
pp. 7
Author(s):  
Sukumar Ramanujam ◽  
Mahesh T R ◽  
Mouleeshwaran S K
Keyword(s):  
Video On Demand ◽  
Live Streaming ◽  
Significant Delay ◽  
Internet Radio ◽  
Novel Approach ◽  
Split And Merge ◽  
Index Terms ◽  
Multi Server ◽  
Initial Latency ◽  
Server System

Multimedia applications such as Video-on-Demand (VoD), Live streaming, Internet stock quotes, Internet radio, audio/music delivery, video surveillance are of growing interest among general public. Existing systems that support these kinds of applications such as centralized server, independent server nodes, and proxy incur significant delay and serve only less number of videos. In this research, a multi-server system that utilizes a split and merge scheme is proposed to reduce the waiting time. This system helps us to achieve load balancing, while increasing the number of videos being served. Our simulation model consists of a single main multimedia server and a set of streaming servers. The performance of the proposed system for various K values is evaluated in the VoD scenario. The results show that the proposed multi-server scheme performs better in terms of initial latency and number of videos being served, compared to the other existing schemes. Index Terms—Component, formatting, style, styling, insert.

scholarly journals Multi-server system with single working vacation

2009 ◽  
Vol 33 (7) ◽  
pp. 2967-2977 ◽  
Author(s):  
Chuen-Horng Lin ◽  
Jau-Chuan Ke
Keyword(s):  
Working Vacation ◽  
Multi Server ◽  
Server System

scholarly journals Improving Perceived Quality of Live Adaptative Video Streaming

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 948
Author(s):  
Carlos Eduardo Maffini Santos ◽  
Carlos Alexandre Gouvea da Silva ◽  
Carlos Marcelo Pedroso
Keyword(s):  
Video Streaming ◽  
Short Term Memory ◽  
Transmission Rate ◽  
Video Quality ◽  
Video On Demand ◽  
Live Streaming ◽  
Network Congestion ◽  
Congested Networks ◽  
Over The Top

Quality of service (QoS) requirements for live streaming are most required for video-on-demand (VoD), where they are more sensitive to variations in delay, jitter, and packet loss. Dynamic Adaptive Streaming over HTTP (DASH) is the most popular technology for live streaming and VoD, where it has been massively deployed on the Internet. DASH is an over-the-top application using unmanaged networks to distribute content with the best possible quality. Widely, it uses large reception buffers in order to keep a seamless playback for VoD applications. However, the use of large buffers in live streaming services is not allowed because of the induced delay. Hence, network congestion caused by insufficient queues could decrease the user-perceived video quality. Active Queue Management (AQM) arises as an alternative to control the congestion in a router’s queue, pressing the TCP traffic sources to reduce their transmission rate when it detects incipient congestion. As a consequence, the DASH client tends to decrease the quality of the streamed video. In this article, we evaluate the performance of recent AQM strategies for real-time adaptive video streaming and propose a new AQM algorithm using Long Short-Term Memory (LSTM) neural networks to improve the user-perceived video quality. The LSTM forecast the trend of queue delay to allow earlier packet discard in order to avoid the network congestion. The results show that the proposed method outperforms the competing AQM algorithms, mainly in scenarios where there are congested networks.

Peer Assist Live Streaming Overlay for Next-Generation-Networks

2010 ◽  
Vol 1 (4) ◽  
pp. 25-40
Author(s):  
Julius Müller ◽  
Thomas Magedanz ◽  
Jens Fiedler
Keyword(s):  
Service Providers ◽  
Rapid Evolution ◽  
Video On Demand ◽  
Next Generation Networks ◽  
Multimedia Content ◽  
Live Streaming ◽  
Next Generation ◽  
P2p File Sharing ◽  
Multimedia Streams ◽  
P2p Live Streaming

The rapid evolution of the telecommunication domain increases the performance of different access networks continuously. New services, especially in the domain multimedia content distribution, require higher and higher bandwidth at the user’s and service provider’s side. Multimedia services like Video on Demand, IPTV, and live streaming were introduced in the past and are still improved in quality and quantity. Multimedia streams and Peer to Peer (P2P) file sharing dominates the worldwide Internet traffic nowadays and will continue further (Schulze, 2009). The user acceptance of enjoying multimedia content over the Internet will grow steadily together with the increasing quality of the available multimedia content. Network operators and service providers have to face the growths by increasing their service platform with higher performance and bandwidth or introducing a scalable solution. In this paper, the authors present an algorithm for scalable P2P live streaming in Next-Generation-Networks (NGN) that addresses this challenge. An evaluation proves the performance of the implementation of this algorithm in a demo scenario.

DyBASe: A buffer allocation scheme for reducing average initial latency in video-on-demand systems

2001 ◽  
Vol 137 (1-4) ◽  
pp. 17-31 ◽  
Author(s):  
Sang-Ho Lee ◽  
Kyu-Young Whang ◽  
Yang-Sae Moon ◽  
Il-Yeol Song
Keyword(s):  
Video On Demand ◽  
Demand Systems ◽  
Allocation Scheme ◽  
Buffer Allocation ◽  
On Demand ◽  
Initial Latency

Peer Assist Live Streaming Overlay for Next-Generation-Networks

2012 ◽  
pp. 286-301
Author(s):  
Julius Müller ◽  
Thomas Magedanz ◽  
Jens Fiedler
Keyword(s):  
Service Providers ◽  
Rapid Evolution ◽  
Video On Demand ◽  
Next Generation Networks ◽  
Multimedia Content ◽  
Live Streaming ◽  
Next Generation ◽  
P2p File Sharing ◽  
Multimedia Streams ◽  
P2p Live Streaming

The rapid evolution of the telecommunication domain increases the performance of different access networks continuously. New services, especially in the domain multimedia content distribution, require higher and higher bandwidth at the user’s and service provider’s side. Multimedia services like Video on Demand, IPTV, and live streaming were introduced in the past and are still improved in quality and quantity. Multimedia streams and Peer to Peer (P2P) file sharing dominates the worldwide Internet traffic nowadays and will continue further (Schulze, 2009). The user acceptance of enjoying multimedia content over the Internet will grow steadily together with the increasing quality of the available multimedia content. Network operators and service providers have to face the growths by increasing their service platform with higher performance and bandwidth or introducing a scalable solution. In this paper, the authors present an algorithm for scalable P2P live streaming in Next-Generation-Networks (NGN) that addresses this challenge. An evaluation proves the performance of the implementation of this algorithm in a demo scenario.

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