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.
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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
Other information
Type of outcome Proceedings paper
Confidentiality degree is not subject to a state or trade secret
WWW 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
Changed by Changed by: doc. RNDr. Petr Holub, Ph.D., učo 3248. Changed: 3/12/2004 09:11.
Abstract
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.
Abstract (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.
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