Performance Analysis and Industrial Practice of Peer-Assisted Content Distribution Network for Large-Scale Live Video Streaming

2008 ◽  
Author(s):  
Xuening Liu ◽  
Hao Yin ◽  
Chuang Lin ◽  
Yu Liu ◽  
Zhijia Chen ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Video Streaming ◽  
Large Scale ◽  
Content Distribution ◽  
Distribution Network ◽  
Content Distribution Network ◽  
Industrial Practice ◽  
Live Video ◽  
Live Video Streaming

scholarly journals An Efficient Framework for Large Scale Multimedia Content Distribution in P2P Network: I2NC

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
M. Anandaraj ◽  
P. Ganeshkumar ◽  
K. P. Vijayakumar ◽  
K. Selvaraj
Keyword(s):  
Network Coding ◽  
Large Scale ◽  
Content Distribution ◽  
Distribution Network ◽  
Network Routing ◽  
P2p Network ◽  
Content Distribution Network ◽  
Download Time ◽  
Information Block ◽  
Traffic Reduction

Network coding (NC) makes content distribution more effective and easier in P2P content distribution network and reduces the burden of the original seeder. It generalizes traditional network routing by allowing the intermediate nodes to generate new coded packet by combining the received packets. The randomization introduced by network coding makes all packets equally important and resolves the problem of locating the rarest block. Further, it reduces traffic in the network. In this paper, we analyze the performance of traditional network coding in P2P content distribution network by using a mathematical model and it is proved that traffic reduction has not been fully achieved in P2P network using traditional network coding. It happens due to the redundant transmission of noninnovative information block among the peers in the network. Hence, we propose a new framework, called I2NC (intelligent-peer selection and incremental-network coding), to eliminate the unnecessary flooding of noninnovative coded packets and thereby to improve the performance of network coding in P2P content distribution further. A comparative study and analysis of the proposed system is made through various related implementations and the results show that 10–15% of traffic reduced and improved the average and maximum download time by reducing original seeder’s workload.

Modeling large-scale live video streaming client behavior

2021 ◽  
Author(s):  
Thiago Guarnieri ◽  
Idilio Drago ◽  
Ítalo Cunha ◽  
Breno Almeida ◽  
Jussara M. Almeida ◽  
...  
Keyword(s):  
Video Streaming ◽  
Large Scale ◽  
Live Video ◽  
Live Video Streaming ◽  
Client Behavior

scholarly journals QoE Analysis of a Large-Scale Live Video Streaming Event

2016 ◽  
Vol 44 (1) ◽  
pp. 395-396 ◽  
Author(s):  
Adnan Ahmed ◽  
Zubair Shafiq ◽  
Amir Khakpour
Keyword(s):  
Video Streaming ◽  
Large Scale ◽  
Live Video ◽  
Live Video Streaming

scholarly journals A Novel Model for Large-Scale Online College Learning in Postpandemic Era: AI-Driven Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Cong Wang
Keyword(s):  
Online Learning ◽  
Video Streaming ◽  
Large Scale ◽  
Short Term Memory ◽  
College Education ◽  
Transmission Protocol ◽  
Communication Optimization ◽  
Live Video ◽  
Live Video Streaming ◽  
Internet Connections

COVID-19 is a pandemic with a wide reach and explosive magnitude, and the world has been bracing itself for impact. Many have lost their jobs and savings, and many are homeless. For better or worse, COVID-19 has permanently changed our lives. For college students, the pandemic means giving up most of the on-campus experience in the postpandemic era and performing online learning instead. Virtual lessons may become a permanent part of college education. Large-scale online learning typically utilizes interactive live video streaming. In this study, we analyzed a codec and video streaming transmission protocol using artificial intelligence. First, we studied an intraframe prediction optimization algorithm for the H.266 codec based on long short-term memory networks. In terms of video streaming transmission protocols, real-time communication optimization based on Quick UDP Internet connections and Luby Transform codes is proposed to improve the quality of interactive live video streaming. Experimental results demonstrate that the proposed strategy outperforms three benchmarks in terms of video streaming quality, video streaming latency, and average throughput.

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