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A live system for wavelet compression of high speed computer network measurements
Monitoring high-speed networks for a long period of time produces a high volume of data, making the storage of this information practically inefficient. To this end, there is a need to derive an efficient method of data analysis and reduction in order to archive and store the enormous amount of moni...
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| Main Authors: | , |
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| Format: | Default Text |
| Published: |
2007
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/3019 |
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| Summary: | Monitoring high-speed networks for a long period of time produces a high volume of data, making the storage of this information practically inefficient. To this end, there is a need to derive an efficient method of data analysis and reduction in order to archive and store the enormous amount of monitored traffic. Satisfying this need is useful not only for administrators but also for researchers who run their experiments on the monitored network. The researchers would like to know how their experiments affect the network's behavior in terms of utilization, delay, packet loss, data rate etc. In this paper a method of compressing computer network measurements while preserving the quality in interesting signal characteristics is presented. Eight different mother wavelets are compared against each other in order to examine which one offers the best results in terms of quality in the reconstructed signal. The proposed wavelet compression algorithm is compared against the lossless compression tool bzip2 in terms of compression ratio (C.R.). Finally, practical results are presented by compressing sampled traffic recorded from a live network. |
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