TROUBIL, Pavel and Hana RUDOVÁ. Integer Linear Programming Models and Cycle Avoidance Methods for Media Streams Planning. In International Network Optimization Conference 2011. 2011.
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Basic information
Original name Integer Linear Programming Models and Cycle Avoidance Methods for Media Streams Planning
Authors TROUBIL, Pavel (203 Czech Republic, guarantor, belonging to the institution) and Hana RUDOVÁ (203 Czech Republic, belonging to the institution).
Edition International Network Optimization Conference 2011, 2011.
Other information
Original language English
Type of outcome Presentations at conferences
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/11:00052464
Organization unit Faculty of Informatics
Keywords in English media streams planning; integer programming; cycle avoidance
Tags International impact
Changed by Changed by: RNDr. Pavel Troubil, Ph.D., učo 139885. Changed: 13/6/2013 12:34.
Abstract
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.
Links
MSM0021622419, plan (intention)Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems
MUNI/A/0914/2009, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Acronym: SV-FI MAV)
Investor: Masaryk University, Category A
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