Colucci M.
Stochastic characterization Probability density function Batch Markovian Arrival Process Cross Entropy Markov Modulated Poisson Process Non-parametric density estimation
This thesis aims to study the Batch Markovian Arrival Process as a possible candidate to model the input stream of a queueing system. The characterization of the process is based on the estimation of the corresponding probability density function exploiting a non- parametric density estimation technique: the Generalized Cross Entropy method. The estimation provided by the proposed method is compared with an alternative one already studied in literature exploiting a Markov Modulated Poisson Process to model the arrival process.
@mastersthesis{oai:it.cnr:prodotti:340281, title = {Modeling web search query traffic with batch arrival processes}, author = {Colucci M.}, year = {2015} }