Title :
Adaptive online data compression
Author :
Jeannot, E. ; Knutsson, B. ; Bjorkman, M.
Author_Institution :
LORIA, Univ. Henri Poincare, Nancy, France
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.
Keywords :
adaptive signal processing; data compression; online operation; wide area networks; WAN; adaptive online data compression; distributed computing; large dataset transmission; wide area networks; Algorithm design and analysis; Bandwidth; Concurrent computing; Data compression; Distributed computing; File systems; LAN interconnection; Laboratories; Network servers; Spine;
Conference_Titel :
High Performance Distributed Computing, 2002. HPDC-11 2002. Proceedings. 11th IEEE International Symposium on
Conference_Location :
Edinburgh, UK
Print_ISBN :
0-7695-1686-6
DOI :
10.1109/HPDC.2002.1029938