From the fractal dimension of the intermiss gaps to the cache-miss ratio
by D. Thiébaut
This work extends a model proposed by Voldman, Mandelbrot, et al. on the fractal nature of the gaps separating cache misses, and shows how the fractal dimension of the gap distribution can be used to predict the miss ratio experienced by the program that has generated the series of cache misses. This result supports the thesis that the fractal dimension of the distribution of the intermiss gaps is a potentially powerful measure for program characterization.