The paper presents joint measurements of IP and ATM traffic over an MPOA based campus network. The search for parsimonious realistic modeling of heterogeneous aggregated traffics has led recently to the generalization of ON/OFF modeling schemes. Even a single ON/OFF pattern with Paretogeometric distributions of the sojourn times in each state determines a hyperbolic decay of the autocovariance function corresponding to Long Range Dependence (LRD). Hence, adequate ON/OFF models can fit real traces corresponding to the multiplexing of several heterogeneous connections. In the paper, the ON/OFF behavior of the traffic is evidenced at the ATM level. The relevant feature of the traces is that either the ON and the OFF sojourn times could be well, approximated by a light tailed distribution. The observed LRD behavior is due to the presence of correlation in the sequence of ON las well as OFF) periods lengths. In order to confirm this hypothesis, different synthetic traces were considered, verifying the LRD behavior by means of Wavelet analysis. Implications of such state correlations on queueing behavior are then compared by means of discrete event simulations.

On the Relevance of Correlation Dependencies in ON/OFF Characterization of Broadband Traffic

GARROPPO, ROSARIO GIUSEPPE;GIORDANO, STEFANO;PAGANO, MICHELE;PROCISSI, GREGORIO
2000-01-01

Abstract

The paper presents joint measurements of IP and ATM traffic over an MPOA based campus network. The search for parsimonious realistic modeling of heterogeneous aggregated traffics has led recently to the generalization of ON/OFF modeling schemes. Even a single ON/OFF pattern with Paretogeometric distributions of the sojourn times in each state determines a hyperbolic decay of the autocovariance function corresponding to Long Range Dependence (LRD). Hence, adequate ON/OFF models can fit real traces corresponding to the multiplexing of several heterogeneous connections. In the paper, the ON/OFF behavior of the traffic is evidenced at the ATM level. The relevant feature of the traces is that either the ON and the OFF sojourn times could be well, approximated by a light tailed distribution. The observed LRD behavior is due to the presence of correlation in the sequence of ON las well as OFF) periods lengths. In order to confirm this hypothesis, different synthetic traces were considered, verifying the LRD behavior by means of Wavelet analysis. Implications of such state correlations on queueing behavior are then compared by means of discrete event simulations.
2000
0780362837
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/193966
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact