Peer-to-Peer Streaming Technology Survey

Abstract

Lately there has been a growing interest in the use of peer-to-peer technologies for deploying large-scale live media streaming systems over the Internet. In this paper we give a brief survey on the peer-to-peer streaming field and have also a closer look on selected applications. In practice, we analyse the selected peer-to-peer streaming systems (Octoshape, SopCast, TVAnts and TVU networks) and see if they are suitable for mobile usage. This paper also shows results from an experimental test carried out by using selected applications with a PC over different network connections (EDGE, UMTS, HSDPA, ADSL and LAN). None of the selected applications are designed to be used in a mobile environment, so there is still a lot of work to do to have optimized systems in the mobile network environment.

A Real-Time Peer-to-Peer Streaming System for Mobile Networking Environment

“…The buffer size in our application is also ten seconds due to the RTP usage and is relatively small compared to the buffer sizes of existing solutions reported in [1].…”

“…In the second step, RTP packets belonging to each of the RTP sessions are assigned to the N partial streams according to (1), where i denotes the index of the partial stream (0 ≤ i < N) and t RT P denotes the RTP timestamp as carried in the RTP data packet. The algorithm allows assigning every RTP packet in the session to a partial RTP stream without having to maintain the state in the peer itself.…”

“…This is in contrast to a service like YouTube which still requires content to be uploaded to a central server first. Some of the currently existing P2P streaming applications, such as Octoshape and SopCast, are suitable to be used in a mobile environment but still there are many issues to be solved before an optimized solution for mobile devices can be realized [1].…”

Multistage Congestion Games for live streaming

“…Many peer-to-peer solutions adopt strategies to bypass the problem, for instance by organizing the set of peers as a tree, multi-tree, or even employing more sophisticated approaches (e.g. DHTs) [4], [7], [8]. From this standpoint, our approach is more dynamic, since peers act by changing their partners at each round, choosing them at random.…”

“…Peers can be logically organized as a tree, where the data flows from the root, i.e. the broadcaster, to the leaves [7], [8], [9], a multi-tree [6], [10], or a generic mesh [11], [12], [13]. Alternatively, more sophisticated approaches can be utilized that, for instance, exploit DHTs for the content distribution, e.g.…”