Video on Demand (VoD) streaming makes up an increasing portion of global IP traffic. Traditionally, data is served by content providers directly, putting a huge network load on the servers. We propose using our WebRTC...
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Video on Demand (VoD) streaming makes up an increasing portion of global IP traffic. Traditionally, data is served by content providers directly, putting a huge network load on the servers. We propose using our WebRTC-based protocols WebPeer and CodedWebPeer to create a P2P-assisted VoD streaming system with network coding. We introduce two metrics: network health to measure overall data saturation and network stability to show if the peers in the network are able to serve each other without the help of the server. We have implemented a testbed to emulate real-life network scenarios that includes a probabilistic model of peer behavior. We show through measurements that by applying network coding, network health is increased by up to 100% without changing the cache size or number of peers. Furthermore, network stability is achieved using up to half the cache compared to the uncoded approach, without increasing the servers load. Finally, to validate the scalability of our solution, we tested our protocols in a network with more than 100 tablets to deliver smooth video playback.
Low latency and high reliability are critical characteristics of many wireless use cases, such as real-time video surveillance. In a dense network, the best way to resolve such problems is by utilizing the fastest and...
Low latency and high reliability are critical characteristics of many wireless use cases, such as real-time video surveillance. In a dense network, the best way to resolve such problems is by utilizing the fastest and most reliable connection to the destination, typically through relaying. Classical solutions, such as Reed-Solomon codes, increase the reliability, but also introduce additional coding delays at the relays. This paper describes the reduction of the packet delay achievable by network coding through a series of network nodes. Our metric captures the elapsed time between (network) encoding RTP frames and complete decoding of the packets on the receiver side while playing out the video recording contained in the payload. Our solutions are implemented and evaluated on serially connected Raspberry Pi devices and a network (de)coding enabled software running on a regular PC. We find that the recoding relays work at least as well as the systematic approach to network coding. In all cases network coding outperformed schemes employing classical Reed-Solomon codes. This low per-packet delay and the inherent reliability of our schemes make these solutions particularly suitable for real-time multimedia delivery in contrast to other classical and network coding strategies.
Next generation use-cases of wireless networks require a great deal of flexibility in order to adopt to the constantly changing state of innovation and to accommodate future application requirements. Header compressio...
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ISBN:
(纸本)9783800749485
Next generation use-cases of wireless networks require a great deal of flexibility in order to adopt to the constantly changing state of innovation and to accommodate future application requirements. Header compression has been an ever present solution since the advent of wireless networks and the most current version of it, Robust Header Compression (RoHC), has seen a widespread adoption in Long Term Evolution (LTE) cellular networks. Recent research has mostly focused on the integration and enhancement of RoHC, instead of advancing the core concept of the compression. In this paper we present for the first time a novel design that can tackle the compression of arbitrary packet streams regardless of the employed protocols and the transmitted data. We present our initial findings for an error-free scenario with various simulated and real-life packet streams and show that even with the absence of design time knowledge about the packet structures, one can compress a significant part of the streams, yielding compression gains for IP packets up to 90%, as an example.
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