Cycle Avoidance in Integer Programming for Media Streams Planning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F11%3A00053111" target="_blank" >RIV/00216224:14330/11:00053111 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Cycle Avoidance in Integer Programming for Media Streams Planning

Popis výsledku v původním jazyce

Remote virtual collaboration has high transmission demands these days. There are applications in, e. g., film industry or telemedicine, which transmit multiple data streams with bandwidth close to available link capacities in m:n schemes. Maximum interactivity requirements render low transmission latencies more valuable than low congestion of network links, which is frequent optimization criterion in multicast tree construction. IP multicast is also not suitable for its low availability in networks andhas to be substituted with application-level data distributors. The Media Streams Planning Problem (MSPP) is a problem of placement of several data distribution trees in the network, one for each data source. Data streams of collaborative applications are routed along these streams from their roots (data producers) through internal nodes (distributor applications) to leaves (consumers). A solution of the problem has to respect link capacities while minimizing overall transmission latency

Název v anglickém jazyce

Cycle Avoidance in Integer Programming for Media Streams Planning

Popis výsledku anglicky

Remote virtual collaboration has high transmission demands these days. There are applications in, e. g., film industry or telemedicine, which transmit multiple data streams with bandwidth close to available link capacities in m:n schemes. Maximum interactivity requirements render low transmission latencies more valuable than low congestion of network links, which is frequent optimization criterion in multicast tree construction. IP multicast is also not suitable for its low availability in networks andhas to be substituted with application-level data distributors. The Media Streams Planning Problem (MSPP) is a problem of placement of several data distribution trees in the network, one for each data source. Data streams of collaborative applications are routed along these streams from their roots (data producers) through internal nodes (distributor applications) to leaves (consumers). A solution of the problem has to respect link capacities while minimizing overall transmission latency

Druh

O - Ostatní výsledky

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů