Published Oct 26, 2010

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Miguel Eduardo Torres-Moreno

Germán Flórez-Larrahondo



This paper presents an empirical study of the effect that different input sizes have on the performance of lossless data compression algorithms. We analyzed three different performance measures and created a new dataset based on the Calgary and Canterbury corpus. This dataset also includes two new “complex” files as well. We demonstrated that for large files the compression ratio of the lossless algorithms stays fairly constant and only changes by a small factor every 10MB. Finally, we have shown that the execution time for compressing and Decompression data is a linear function based on the size of the input.


compresión de datos, algoritmos de compresión sin pérdida, desempeño de algoritmosData compression, lossless algorithms, algorithm’s performance

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How to Cite
Torres-Moreno, M. E., & Flórez-Larrahondo, G. (2010). Análisis empírico del efecto del tamaño de la información de entrada en el desempeño de herramientas de compresión sin pérdida. Ingenieria Y Universidad, 8(1). Retrieved from