Detailed Information on Publication Record
2014
Media Streams Planning with Uncertain Link Capacities
TROUBIL, Pavel, Hana RUDOVÁ and Petr HOLUBBasic information
Original name
Media Streams Planning with Uncertain Link Capacities
Authors
TROUBIL, Pavel (203 Czech Republic, guarantor, belonging to the institution), Hana RUDOVÁ (203 Czech Republic, belonging to the institution) and Petr HOLUB (203 Czech Republic, belonging to the institution)
Edition
USA, IEEE 13th International Symposium on Network Computing and Applications NCA 2014, p. 197-204, 8 pp. 2014
Publisher
IEEE
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
RIV identification code
RIV/00216224:14330/14:00073798
Organization unit
Faculty of Informatics
ISBN
978-1-4799-5393-6
UT WoS
000355261300033
Keywords in English
multicast routing; networks; optimization; uncertainty; multimedia; data transfer; ant colony optimization; transcoding; CoUniverse
Tags
International impact, Reviewed
Změněno: 6/4/2016 01:55, doc. Mgr. Hana Rudová, Ph.D.
Abstract
V originále
Interactive collaborative environments built upon high quality video applications require minimum capture-to-display latency to maintain feeling of natural communication. In practice, end users often encounter interruptions due to network congestion, which they could not avoid without knowledge of physical network infrastructure. We solve the problem of application level multipoint routing without assuming accurate knowledge of network link capacities, but rather relying on their estimates by network inference and bandwidth measurement tools. Our approach can handle uncertainties caused by both unreliable bandwidth measurements and unexpected capacity sharing. Support for on-the-fly transcoding of data streams on multicast agents allows per-recipient adaptation of video quality and bandwidth. We have implemented an ant colony optimization algorithm in the CoUniverse middleware for orchestration of collaborative environments. Experiments show very good quality of results on most practical use cases and ability to solve significantly larger instances than optimal approaches based on mixed integer programming.
Links
GAP202/12/0306, research and development project |
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MUNI/A/0765/2013, interní kód MU |
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MUNI/A/0855/2013, interní kód MU |
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