Distributed Encoding Environment Based on Grids and IBP Infrastructure

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

Basic information

Original name

Distributed Encoding Environment Based on Grids and IBP Infrastructure

Authors

HOLUB, Petr and Lukáš HEJTMÁNEK

Edition

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

Publisher

TERENA

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Other information

Type of outcome

Stať ve sborníku

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Full paper. TNC2004 Proceedings.

Organization unit

Institute of Computer Science

ISBN

90-77559-04-3

Keywords in English

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

Tags

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

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Abstract

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.

In English

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.