2011
Integer Linear Programming Models for Media Streams Planning
TROUBIL, Pavel a Hana RUDOVÁZákladní údaje
Originální název
Integer Linear Programming Models for Media Streams Planning
Autoři
TROUBIL, Pavel (203 Česká republika, garant, domácí) a Hana RUDOVÁ (203 Česká republika, domácí)
Vydání
Lecture Notes in Management Science, Istanbul, Bahcesehir University, Istanbul, 2011, 2008-0050
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Turecko
Utajení
není předmětem státního či obchodního tajemství
Kód RIV
RIV/00216224:14330/11:00052463
Organizační jednotka
Fakulta informatiky
Klíčová slova anglicky
media streams planning; integer programming; cycle avoidance
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 13. 6. 2013 12:33, RNDr. Pavel Troubil, Ph.D.
V originále
Advanced collaborative environments frequently need to transfer highly demanding multimedia data streams with minimum possible latency. Since bandwidths of the streams are close to capacities of currently available links, routing of data transfers therefore requires planning with respect to link capacities and latency optimization. This paper describes integer linear programming techniques for optimal solution of the multimedia streams planning problem. Several methods for cycle avoidance in transmission graphs and network flows formulation are proposed. Performance of the methods was evaluated to identify their efficiency for real-time planning and to compare it against an earlier constraint programming approach applied in an application middleware called CoUniverse. According to the results, network flows formulation appears to be the most promising.
Česky
Advanced collaborative environments frequently need to transfer highly demanding multimedia data streams with minimum possible latency. Since bandwidths of the streams are close to capacities of currently available links, routing of data transfers therefore requires planning with respect to link capacities and latency optimization. This paper describes integer linear programming techniques for optimal solution of the multimedia streams planning problem. Several methods for cycle avoidance in transmission graphs and network flows formulation are proposed. Performance of the methods was evaluated to identify their efficiency for real-time planning and to compare it against an earlier constraint programming approach applied in an application middleware called CoUniverse. According to the results, network flows formulation appears to be the most promising.
Návaznosti
| MSM0021622419, záměr |
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| MUNI/A/0914/2009, interní kód MU |
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