Adaptive On-The-Fly Compression
IEEE Transactions on Parallel and Distributed Systems (TPDS)
Vol. 17, Number 1, January, 2006
Chandra Krintz and Sezgin Sucu
We present a system called the Adaptive Compression
Environment (ACE) that automatically and transparently
applies compression (on-the-fly) to a communication stream
to improve network transfer performance.
ACE uses a series of estimation techniques
to make short-term forecasts of compressed and uncompressed
transfer time at the block level. ACE considers
underlying networking technology, available resource performance, and data
characteristics as part of its estimations to determine which compression
algorithm to apply (if any).
Our empirical evaluation shows that, on average,
ACE improves transfer performance given changing
network types and performance characteristics by 8 to 93%
over using any of the popular compression techniques
that we studied (Bzip, Zlib, LZO, and no compression) alone.