Anzeige
Erschienen in:
2009 | OriginalPaper | Buchkapitel
Efficient On-Line Generation of the Correlation Structure of F-ARIMA Processes
verfasst von : Maria-Estrella Sousa-Vieira, Andrés Suárez-González, José-Carlos López-Ardao, Cándido López-García
Erschienen in: Analytical and Stochastic Modeling Techniques and Applications
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Several traffic measurement studies have shown the presence of persistent correlations in modern networks. The use of stochastic processes able to capture this kind of correlations, as self-similar processes, has opened new research fields in network performance analysis, mainly in simulation studies, where the efficient synthetic generation of samples is one of the main topics. Although F-ARIMA processes are very flexible to capture both short- and long-range correlations in a parsimonious way, only off-line methods for synthesizing traces are efficient enough to be of practical use. In order to overcome this disadvantage, in this paper we propose a M/G/∞-based efficient and on-line generator of the correlation structure of F-ARIMA processes.