Distributed Encoding Environment Based on Grids and IBP Infrastructure

HOLUB, Petr a Lukáš HEJTMÁNEK. Distributed Encoding Environment Based on Grids and IBP Infrastructure. In Selected Papers from TERENA Networking Conference 2004. TERENA, 2004, 10 s. ISBN 90-77559-04-3.

Základní údaje

Originální název

Distributed Encoding Environment Based on Grids and IBP Infrastructure

Autoři

HOLUB, Petr a Lukáš HEJTMÁNEK

Vydání

Selected Papers from TERENA Networking Conference 2004, 10 s. 2004

Nakladatel

TERENA

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Další údaje

Typ výsledku

Stať ve sborníku

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Full paper. TNC2004 Proceedings.

Organizační jednotka

Ústav výpočetní techniky

ISBN

90-77559-04-3

Klíčová slova anglicky

Distributed Encoding Environment; multimedia processing; job scheduling; distributed storage

Štítky

distributed encoding environment, distributed storage, job scheduling, multimedia processing

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Anotace

V originále

This paper introduces an environment for distributed video transcoding based on Grid computing infrastructure and Internet Backplane Protocol storage infrastructure. A model for scheduling jobs with respect to location of data in distributed storage is introduced for optimal processing performance. We describe our abstraction library "libxio" providing a~uniform access interface to both local files and data stored on IBP. Modifications of video tools done based on this library in order to work with IBP are being presented as well as a~system that controls an overall distributed encoding process and helps scheduling system to schedule jobs in agreement with the distribution of data in IBP. Two pilot groups that use this system for preparing video content for streaming are mentioned.

Anglicky

This paper introduces an environment for distributed video transcoding based on Grid computing infrastructure and Internet Backplane Protocol storage infrastructure. A model for scheduling jobs with respect to location of data in distributed storage is introduced for optimal processing performance. We describe our abstraction library "libxio" providing a~uniform access interface to both local files and data stored on IBP. Modifications of video tools done based on this library in order to work with IBP are being presented as well as a~system that controls an overall distributed encoding process and helps scheduling system to schedule jobs in agreement with the distribution of data in IBP. Two pilot groups that use this system for preparing video content for streaming are mentioned.