HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation

Adaptive Online Data Compression

Emmanuel Jeannot 1
1 RESEDAS - Software Tools for Telecommunications and Distributed Systems
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Quickly transmitting huge data in the context of distributed computing on wide area network can be achieved by compressing data before transmission. However, such an approach is not efficient when dealing with high-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 propose an algorithm that allows to overlap communications with compression and to adapt the compression ratio according to the network speed (the slower the network, the more we use efficient and slow compression algorithms). The advantage of such an adaptive algorithm is its generality and that its suitability for a large set of applications.
Document type :
Complete list of metadata

Contributor : Rapport de Recherche Inria Connect in order to contact the contributor
Submitted on : Tuesday, May 23, 2006 - 8:00:23 PM
Last modification on : Friday, February 4, 2022 - 3:30:44 AM
Long-term archiving on: : Sunday, April 4, 2010 - 10:57:39 PM


  • HAL Id : inria-00072188, version 1



Emmanuel Jeannot. Adaptive Online Data Compression. [Research Report] RR-4400, INRIA. 2002, pp.7. ⟨inria-00072188⟩



Record views


Files downloads