Call for papers on advances in peer-to-peer streaming systems

2006 ◽  
Vol 24 (11) ◽  
pp. 2160-2160
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.


2015 ◽  
Vol 719-720 ◽  
pp. 756-766
Author(s):  
Yong Jiang ◽  
Shu Wu Zhang ◽  
Jie Liu

In Peer-to-Peer (P2P) Video-on-Demand (VoD) streaming systems, supporting free VCR operations is challenging. Prefetching is a good way to improve user experience of VCR interactivity. But most existing P2P VoD prefetching schemes are proposed aimed at those popular videos with large amount of log data, without considering the situation that the videos are unpopular or the popular videos are in their initial phase of release. In this situation, these schemes cannot support user VCR interactivity very well. To address this issue, we propose a new optimized prefetching scheme, called Hybrid Anchor Scheme (HAS), in which fixed anchors and dynamic anchors are merged together. The dynamic anchors are generated based on association rule and segments popularity. Through combining the way of sequential prefetching according to weight of segments and the way of several rounds prefetching, we implement HAS effectively. Extensive simulations validate the proposed prefetching scheme provide shorter seeking latency compared to other prefetching schemes.


2020 ◽  
Vol 31 (03) ◽  
pp. 341-354
Author(s):  
Hironori Ando ◽  
Satoshi Fujita

In multi-tree-structured Peer-to-Peer (P2P) video streaming, video streams are delivered from the source peer to subscribing peers in such a way that each stream is divided into several sub-streams and those sub-streams are delivered through different spanning trees. In this paper, we focus on the delivery of all sub-streams to [Formula: see text] subscribers through spanning trees of depth two each, which will be referred to as the 2-hop delivery of sub-streams. The main contribution of the current paper is the derivation of a tight lower bound on the upload capacity of homogeneous peers so that 2-hop delivery is possible if and only if the upload capacity of each peer is greater than or equal to the derived bound.


Sign in / Sign up

Export Citation Format

Share Document