Selection of Network Coding Nodes for Minimal Playback Delay in Streaming Overlays
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e analyze a special class of configurations with h sources and N receivers to demonstrate the throughput benefits of network coding and deterministic code design. We show that the throughput benefits network coding offers can increase proportionally to \sq ...
To increase network capacity, it may not be sufficient to just increase the capacity of the networks. It may be necessary to reduce the network overhead bits, to leave more room for the data bits, to increase the network capacity. As network functions beco ...
The upper limit of a network's capacity is its liquid throughput. The liquid throughput corresponds to the flow of a liquid in an equivalent network of pipes. However, the aggregate throughput of a collective communication pattern (traffic) scheduled accor ...
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This paper proposes deterministic algorithms for decentralized network coding. Decentralized coding allows to locally specify the coding operations at network nodes without knowledge of the overall network topology, and to accommodate future changes in the ...
For collective communications, the upper limit of a network's capacity is its liquid throughput. The liquid throughput corresponds to the flow of a liquid in an equivalent network of pipes. However, in communication networks, the aggregate throughput of a ...
The famous min-cut, max-flow theorem states that a source node can send a commodity through a network to a sink node at the rate determined by the flow of the min-cut separating the source and the sink. Recently it has been shown that by linear re-encoding ...
The min-cut, max-flow theorem states that a source node can send a commodity through a network to a sink node at the rate determined by the flow of the min-cut separating the source and the sink. Recently it has been shown that by liner re-encoding at node ...