Adaptive Online Data Compression

Emmanuel Jeannot 1 Bjorn Knuttson Mats Bjorkman
1 RESEDAS - Software Tools for Telecommunications and Distributed Systems
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Quickly transmitting large datasets in the context of distributed computing on wide area networks can be achieved by compressing data before transmission. However, such an approach is not efficient when dealing with higher speed networks. Indeed, the time to compress a large file and to send it is greater than the time to send the uncompressed file. In this paper, we explore and enhance an algorithm that allows us to overlap communications with compression and to automatically adapt the compression effort to currently available network and processor resources.
Type de document :
Communication dans un congrès
IEEE. Eleventh IEEE International Symposium on High Performance Distributed Computing - HPDC 11, Jul 2002, Edinburgh, Scotland, 10 p, 2002
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https://hal.inria.fr/inria-00100877
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 14:52:37
Dernière modification le : jeudi 11 janvier 2018 - 06:20:00

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  • HAL Id : inria-00100877, version 1

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Emmanuel Jeannot, Bjorn Knuttson, Mats Bjorkman. Adaptive Online Data Compression. IEEE. Eleventh IEEE International Symposium on High Performance Distributed Computing - HPDC 11, Jul 2002, Edinburgh, Scotland, 10 p, 2002. 〈inria-00100877〉

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