An Assessment of Self-Managed P2P Streaming

Abstract

Peer-to-Peer (P2P) IPTV applications have increasingly been considered as a potential approach to online broadcasting. These overcome fundamental client-server issues and introduce new, selfmanagement features that help improving performance. Recently, many applications such as PPlive, PPStream, Sopcast, and Joost have been deployed to deliver live and Video-on-Demand streaming via P2P. However, the P2P approach has also shown some points of failure and limitations. In this paper we analyze, assess and compare two popular Live and Video-on-Demand P2P streaming applications, Sopcast and Joost. Our goal is not simply to underline similarities and differences from the architectural and functional point of view, but also to highlight their performance in terms of traffic behavior and network efficiency; thus our experiments have been conducted in different scenarios including a large-scale event (Euro 2008)..

Multiple Streaming at the Network Edge

“…We use though a different distance metric, based on RTT (round trip time) estimations, to prioritize overlay transmissions. Additionally, we use a cluster management algorithm whereby intercommunicating peers are forced to periodically handover, in order to pursue computational as well as network efficiency (as explained in [13] and [14]). …”

“…These are prioritized based on mutual inter-peer distances to ensure that traffic is kept as local as possible. On the other hand, forced handovers ensure that the important feature of computational load-balancing is maintained -we have discussed this particular aspect in previous publications [13] [14].…”

Localized Multistreams for P2P Streaming

“…These are prioritized based on mutual interpeer distances to ensure traffic is kept as local as possible. On the other hand, forced handovers ensure that the important feature of computational loadbalancing is maintained-we have discussed this particular issue in previous publications [8,9]. Instead, herein we are mainly interested in understanding whether location-aware P2P techniques can actually reduce the detrimental side effects of P2P redundant streaming.…”

“…We use though a different distance metric, based on RTT (round trip time) estimations, to prioritize overlay transmissions. Additionally, we use a cluster management algorithm whereby intercommunicating peers are forced to periodically handover, in order to distribute computational load as well as network efficiency (as explained in [8,9]). …”