On the frame forwarding in peer-to-peer multimedia streaming

Yeh, Chun-Chao; Pui, Lin Siong

doi:10.1145/1099384.1099386

“…For example, high delays can considerably degrade the value of the content reaching the end user, e.g., financial news (Vogells et al 2002). In more real-time environments such as streaming, P2P implementations are subject to even more stringent timing constraints (Yeh and Pui 2005). Pouwelse et al (2004) describe the importance of delays in developing a real-time video delivery system using peer-to-peer networks.…”

Section: Congestion Measuresmentioning

confidence: 99%

Analyzing Sharing in Peer-to-Peer Networks Under Various Congestion Measures

Johar

¹

,

Menon

²

,

Mookerjee

³

2011

Information Systems Research

View full text Add to dashboard Cite

H istorically, the use of peer-to-peer (P2P) networks has been limited primarily to user-initiated exchanges of (mostly music) files over the Internet. This traditional view of P2P networks is changing, however, and the use of P2P networks has been suggested for delivering general-purpose content over the Web (or corporate intranets), even in real time. We analyze sharing in a P2P community in this new context under three different congestion measures: delay, jitter, and packet loss. Sharing is important to study in the presence of congestion because most existing research on P2P networks views congestion in the network as a relatively insignificant criterion. However, when delivering general-purpose content, congestion and its relationship to sharing is a critical factor that influences end-user performance. This paper looks at P2P networks from this new perspective by explicitly considering the effects of congestion on user incentives for sharing. We also propose a simple incentive mechanism that induces socially optimal sharing.

show abstract

“…In 16 the authors state that for gapless playout, peer selection should not only be done based on network quality criteria, but also on the buffer status of the candidate parent peer, effectively recognizing the phenomenon of "negative correlation". However they do not associate this phenomenon with the level of synchronization between different playout schedulers, which is the main contribution of our work.…”

Section: Introductionmentioning

confidence: 99%

<title>The impact of playout policy on the performance of P2P live streaming: or how not to kill your P2P advantage</title>

Vassilakis

¹

,

Laoutaris

²

,

Stavrakakis

³

2008

View full text Add to dashboard Cite

In this paper we examine the impact of the adopted playout policy on the performance of P2P live streaming systems. We argue and demonstrate experimentally that (popular) playout policies which permit the divergence of the playout points of different nodes can deteriorate drastically the performance of P2P live streaming. Consequently, we argue in favor of keeping different playout points "near-in-time", even if this requires sacrificing (dropping) some late frames that could otherwise be rendered (assuming no strict bidirectional interactivity requirements are in place). Such nearly synchronized playout policies create "positive correlation" with respect to the available frames at different playout buffers. Therefore, they increase the number of upstream relay nodes from which a node can pull frames and thus boost the playout quality of both single-parent (tree) and multiple-parent (mesh) systems. On the contrary, diverging playout points reduce the number of upstream parents that can offer a gapless relay of the stream. This is clearly undesirable and should be avoided as it contradicts the fundamental philosophy of P2P systems which is to supplement an original service point with as many additional ones presented by the very own users of the service.

show abstract

On the impact of playout scheduling on the performance of peer-to-peer live streaming

Vassilakis

¹

,

Laoutaris

²

,

Stavrakakis

³

2009

Computer Networks

1

0

View full text Add to dashboard Cite

In this paper we examine the impact of the adopted playout policy on the performance of P2P live streaming systems. We argue and demonstrate experimentally that (popular) playout policies which permit the divergence of the playout points of different nodes can deteriorate drastically the performance of P2P live streaming. Consequently, we argue in favor of keeping different playout points "near-in-time", even if this requires sacrificing (dropping) some late frames that could otherwise be rendered (assuming no strict bidirectional interactivity requirements are in place). Such nearly synchronized playout policies create "positive correlation" with respect to the available frames at different playout buffers. Therefore, they increase the number of upstream relay nodes from which a node can pull frames and thus boost the playout quality of both single-parent (tree) and multiple-parent (mesh) systems. On the contrary, diverging playout points reduce the number of upstream parents that can offer a gapless relay of the stream. This is clearly undesirable and should be avoided as it contradicts the fundamental philosophy of P2P systems which is to supplement an original service point with as many additional ones presented by the very own users of the service.

show abstract

On the frame forwarding in peer-to-peer multimedia streaming

Cited by 5 publications

References 18 publications

Analyzing Sharing in Peer-to-Peer Networks Under Various Congestion Measures

Analyzing Sharing in Peer-to-Peer Networks Under Various Congestion Measures

<title>The impact of playout policy on the performance of P2P live streaming: or how not to kill your P2P advantage</title>

On the impact of playout scheduling on the performance of peer-to-peer live streaming

Contact Info

Product

Resources

About