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