A highly efficient M/G/∞ model for generating self-similar traces
M.E. Sousa‐Vieira, Andrés Suárez-González, Cándido López-Garcı́a, Manuel Fernández‐Veiga, J.C. López-Ardao · 2003
Several traffic measurement reports have convincingly shown the presence of self-similarity in modern networks, inducing as a result a revolution in the stochastic modeling of traffic. The use of self-similar processes in performance analysis has opened new problems and research issues in simulation studies, where the efficient generation of synthetic sample paths with self-similar properties is one of the fundamental concerns. We present an M/G//spl infin/ generator of self-similar traces, based on a highly efficient simulation model using the decomposition property of Poisson processes.