Detailed Information on Publication Record
2014
Local Search Heuristics for Media Streams Planning with Transcoding
MAREK, Jiří, Hana RUDOVÁ and Petr HOLUBBasic information
Original name
Local Search Heuristics for Media Streams Planning with Transcoding
Name in Czech
Heuristiky lokálního prohledávání pro problém plánování náročných datových přenosů s možností transkódování
Authors
MAREK, Jiří (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. 167-170, 4 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/00216224:14330/14:00073871
Organization unit
Faculty of Informatics
ISBN
978-1-4799-5393-6
UT WoS
000355261300028
Keywords in English
Local search; Media Streams Planning Problem; transcoding; partial topology knowledge; Roulette Wheel Selection; CoUniverse; UltraGrid; multimedia transfers; real-time planning
Tags
International impact, Reviewed
Změněno: 6/4/2016 01:54, doc. Mgr. Hana Rudová, Ph.D.
Abstract
V originále
Recent advances in processing capabilities of commodity hardware enabled deployment of high-performance collaborative environments in various application fields, where maximum image quality and interactivity are critical. In this paper, we focus on user-empowered collaborative environments that rely on information available to the users and that can be obtained from the end-nodes connected to the network. We build upon our previous work on scheduling strategies for multi-point data distribution, while utilizing media transcoding during the distribution and partial network topology knowledge that may be provided by the users. The novelty introduced by this paper focuses on improving scheduling scalability by employing local search metaheuristics, allowing us to maintain systems comprising more than twice as many applications compared to the previous approaches.
Links
GAP202/12/0306, research and development project |
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MUNI/A/0855/2013, interní kód MU |
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