BDBComp
Parceria:
SBC
Raimir Holanda

Modelo Mental como Informação de Contexto para apoio à Aprendizagem Organizacional

In this paper we study the performance of a new packet trace compressionmethod based on clustering of TCP flows. With our proposed method,the compression ratio that we achieve is around 3%, reducing the file size, forinstance, from 100 MB to 3 MB. Although this specification defines a lossy compressed data format, it preserves important statistical properties present into original trace such as self-similarity, spatial and temporal locality. In order to validate the method, memory performance studies were done using Commbench and Netbench benchmarks. To give support to these studies, measurements were taken of memory access and cache miss ratio. For the time, the results have showed that the decompressed traces represent a good aproximation of original traces.

http://www.lbd.dcc.ufmg.br/colecoes/wperformance/2006/004.pdf

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