Crystal: An Emulation Framework for Practical Peer-to-Peer Multimedia Streaming Systems

Author(s):  
Mea Wang ◽  
Hassan Shojania ◽  
Baochun Li
Author(s):  
Victor Gau ◽  
Peng-Jung Wu ◽  
Yi-Hsien Wang ◽  
Jenq-Neng Hwang

2018 ◽  
Vol 12 (17) ◽  
pp. 2119-2131 ◽  
Author(s):  
Haizhou Wang ◽  
Xingshu Chen ◽  
Wenxian Wang ◽  
Mei Ya Chan

Author(s):  
Florence Agboma

This chapter considers the various parameters that affect the user’s Quality-of-Experience (QoE) in mobile peer-to-peer streaming systems, which are a form of content delivery network. Network and content providers do not necessarily focus on users’ QoE when designing the content delivery strategies and business models. The outcome of this is quite often the over-provisioning of network resources and also a lack of knowledge in respect to the user’s satisfaction. The focus is the methodology for quantifying the user’s perception of service quality for mobile video services and user contexts. The statistical technique of discriminant analysis is employed in defining prediction models to map Quality-of-Service (QoS) parameters onto estimates of the user’s QoE ratings. The chapter considers the relative contribution of the QoS parameters to predicting user responses. The chapter also demonstrates the value of the prediction models in developing QoE management strategies in order to optimize network resource utilization. To investigate the versatility of the framework, a feasibility study was applied to a P2P TV system. P2P systems continue to develop and as such, not a lot is known about their QoE characteristics, which situation this chapter seeks to remedy.


Author(s):  
Roberto Cesco ◽  
Riccardo Bernardini ◽  
Roberto Rinaldo

Video transmission over IP is currently a hot topic both in entertainment and research communities. A problem that threatens the development of video over IP services is the bandwidth required to serve a potentially very large number of users. In this context, Peer-to-peer (P2P) technologies are considered a possible solution for the distribution of video content to many users. This chapter describes a novel P2P transport protocol suited for live multimedia streaming. The described protocol has low start-up time, it is robust with respect to data losses (due to congestion or node departure) and it can help counteracting the malicious injection of “bogus packets” in the media stream. The proposed protocol can be used with any type of data and, from the application point of view, it appears as a protocol similar to TCP or UDP, making the reuse of existing software and protocols easier.


Sign in / Sign up

Export Citation Format

Share Document