Dynamic Adaptive Streaming over HTTP (DASH) is a recently proposed standard that offers different versions\udof the same media content to adapt the delivery process over the Internet to dynamic bandwidth fluctuations\udand different user device capabilities. The peer-to-peer (P2P) paradigm for video streaming allows\udto leverage the cooperation among peers, guaranteeing to serve video requests with increased scalability\udand reduced cost. We propose to combine these two approaches in a P2P-DASH architecture, exploiting the\udpotentiality of both. The new platform is made of several swarms and a different DASH representation is\udstreamed within each of them; unlike client-server DASH architectures, where each client autonomously\udselects which version to download according to current network conditions and to its device resources, we\udput forth a new rate control strategy implemented at peer site to maintain a good viewing quality to the\udlocal user and to simultaneously guarantee the successful operation of the P2P swarms. The effectiveness\udof the solution is demonstrated through simulation and it indicates that the P2P-DASH platform is able to\udwarrant its users a very good performance, much more satisfying than in a conventional P2P environment\udwhere DASH is not employed. Through a comparison with a reference DASH system modeled via the Integer\udLinear Programming (ILP) approach, the new system is shown to outperform such reference architecture.\udTo further validate the proposal, both in terms of robustness and scalability, system behavior is investigated\udin the critical condition of a flash crowd, showing that the strong upsurge of new users can be successfully\udrevealed and gradually accommodated.
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