DocumentCode
3433650
Title
ACE: a resource-aware adaptive compression environment
Author
Sucu, Sezgin ; Krintz, Chandra
Author_Institution
Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
fYear
2003
fDate
28-30 April 2003
Firstpage
183
Lastpage
188
Abstract
We present an adaptive compression environment (ACE) that uses both underlying resource performance (network and CPU) predictions and the compressibility of the data stream to perform on-the-fly compression. ACE couples technologies from computational grid computing and dynamic compilation research to predict the efficacy of using compression and to intercept and compress socket-based communication transparently. Our results show that ACE is able to accurately determine when to compress and not to compress. Over all file formats studied, ACE enables significant improvements over solely performing compression or no compression.
Keywords
data compression; file organisation; grid computing; ACE; computational grid computing; data stream; dynamic compilation; file formats; on-the-fly compression; resource performance predictions; resource-aware adaptive compression environment; socket-based communication; Bandwidth; Central Processing Unit; Computer networks; Costs; Dynamic compiler; Grid computing; Internet; Java; Runtime; Sockets;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: Coding and Computing [Computers and Communications], 2003. Proceedings. ITCC 2003. International Conference on
Print_ISBN
0-7695-1916-4
Type
conf
DOI
10.1109/ITCC.2003.1197523
Filename
1197523
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