D 2014

Media Streams Planning with Uncertain Link Capacities

TROUBIL, Pavel, Hana RUDOVÁ and Petr HOLUB

Basic 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
Name: Dyschnet - Dynamické plánování a rozvrhování výpočetních a síťových zdrojů (Acronym: Dyschnet)
Investor: Czech Science Foundation
MUNI/A/0765/2013, interní kód MU
Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)
Investor: Masaryk University, Category A
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