A delay-based aggregate rate control for P2P streaming systems

2012 ◽  
Vol 35 (18) ◽  
pp. 2237-2244 ◽  
Author(s):  
Robert Birke ◽  
Csaba Kiraly ◽  
Emilio Leonardi ◽  
Marco Mellia ◽  
Michela Meo ◽  
...  
Keyword(s):  
Rate Control ◽  
P2p Streaming ◽  
Aggregate Rate ◽  
Streaming Systems

scholarly journals Scalable playback rate control in P2P live streaming systems

2015 ◽  
Vol 9 (6) ◽  
pp. 1162-1176 ◽  
Author(s):  
Maria Efthymiopoulou ◽  
Nikolaos Efthymiopoulos ◽  
Athanasios Christakidis ◽  
Nikolaos Athanasopoulos ◽  
Spyros Denazis ◽  
...  
Keyword(s):  
Rate Control ◽  
Live Streaming ◽  
P2p Live Streaming ◽  
Streaming Systems

Analysis of Mixed Strategies for P2P Streaming Systems

2020 ◽  
pp. 400-414
Author(s):  
Aminu Adamu ◽  
Anna Platonova ◽  
Irina Yartseva ◽  
Yuliya Gaidamaka
Keyword(s):  
Mixed Strategies ◽  
P2p Streaming ◽  
Streaming Systems

scholarly journals Improving Streaming Capacity In Tree & Meshed Based P2P Live Streaming Systems

2021 ◽  
Author(s):  
Shujjat A. Khan
Keyword(s):  
Resource Allocation ◽  
Resource Sharing ◽  
Optimization Problem ◽  
Live Streaming ◽  
Resource Allocation Problem ◽  
Optimal Resource Allocation ◽  
P2p Streaming ◽  
P2p Live Streaming ◽  
Optimal Resource ◽  
Streaming Systems

The streaming capacity for a channel is defined as the maximum streaming rate that can be achieved by every user in the channel. In the thesis, we investigated the streaming capacity problem in both tree-based and mesh-based Peer-to-Peer (P2P) live streaming systems, respectively. In tree-based multi-channel P2P live streaming systems, we propose a crosschannel resource sharing approach to improve the streaming capacity. We use cross-channel helpers to establish the cross-channel overlay links, with which the unused upload bandwidths in a channel can be utilized to help the bandwidth-deficient peers in another channel, thus improving the streaming capacity. In meshed-based P2P live streaming systems, we propose a resource sharing approach to improve the streaming capacity. In mesh-based P2P streaming systems, each peer exchanges video chunks with a set of its neighbors. We formulate the streaming capacity problem into an optimal resource allocation problem. By solving the optimization problem, we can optimally allocate the link rates for each peer, thus improve the streaming capacity.

A learning-based resource allocation approach for P2P streaming systems

IEEE Network ◽  
2015 ◽  
Vol 29 (1) ◽  
pp. 4-11 ◽  
Author(s):  
Thibaud Rohmer ◽  
Amir Nakib ◽  
Abdelhamid Nafaa
Keyword(s):  
Resource Allocation ◽  
P2p Streaming ◽  
Allocation Approach ◽  
Streaming Systems

Analyzing stream building processes in P2P streaming systems

2010 ◽  
Author(s):  
Shi Cheng ◽  
Chanle Wu ◽  
Jun Yue ◽  
Gang Ye ◽  
Lian He
Keyword(s):  
P2p Streaming ◽  
Streaming Systems

Is access frequency adequate for video popularity ranking in P2P streaming systems?

2012 ◽  
Author(s):  
Xiaoying Tan ◽  
Yuchun Guo ◽  
Yishuai Chen ◽  
Qiufang Ying ◽  
Wei Zhu ◽  
...  
Keyword(s):  
P2p Streaming ◽  
Access Frequency ◽  
Streaming Systems

Revisiting Peering Strategies in Push-Pull Based P2P Streaming Systems

2009 ◽  
Author(s):  
Anis Ouali ◽  
Brigitte Kerherve ◽  
Brigitte Jaumard
Keyword(s):  
P2p Streaming ◽  
Streaming Systems
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