Publication details

<< back
 

Integer Linear Programming Models and Cycle Avoidance Methods for Media Streams Planning

Basic information
Original title:Integer Linear Programming Models and Cycle Avoidance Methods for Media Streams Planning
Authors:Pavel Troubil, Hana Rudová
Further information
Citation:TROUBIL, Pavel and Hana RUDOVÁ. Integer Linear Programming Models and Cycle Avoidance Methods for Media Streams Planning (Integer Linear Programming Models and Cycle Avoidance Methods for Media Streams Planning). In International Network Optimization Conference 2011. 2011.Export BibTeX
@proceedings{941667,
author = {Troubil, Pavel and Rudová, Hana},
booktitle = {International Network Optimization Conference 2011},
keywords = {media streams planning; integer programming; cycle avoidance},
language = {eng},
title = {Integer Linear Programming Models and Cycle Avoidance Methods for Media Streams Planning},
year = {2011}
}
Original language:English
Field:Informatics
Type:Appeared in Conference without Proceedings
Keywords:media streams planning; integer programming; cycle avoidance

High-end collaborative tools simultaneously transmit multiple multimedia streams, each in an 1:n scheme. Bandwidth required by the streams is close to capacities of current links, and collaboration requires low latency. The Media Streams Planning Problem is a problem of routing streams in these tools. For each data source, a distribution tree is placed in the network. We optimize overall latency of all streams. Due to requests for quick call establishment, solver of the MSPP has to respond within seconds. Our aim is to improve its performance. We linearized the original CP formulation of the problem and proposed binary ILP solver to improve performance. We noticed that negative influence comes from cycle avoidance constraints. We proposed strategies which solve the problem without cycle avoidance methods, and eliminate only cycles appearing in the solutions. We also combined binary formulation with network flows constraints. This method avoids cycles and improves performance.

Related projects:

 
 
top