D 2014

Local Search Heuristics for Media Streams Planning with Transcoding

MAREK, Jiří, Hana RUDOVÁ and Petr HOLUB

Basic 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
Name: Dyschnet - Dynamické plánování a rozvrhování výpočetních a síťových zdrojů (Acronym: Dyschnet)
Investor: Czech Science Foundation
MUNI/A/0855/2013, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace III. (Acronym: FI MAV III.)
Investor: Masaryk University, Category A

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