Buffer overflow simulation in self-similar queuing networks with finite buffer capacity

Izabella V. Lokshina, Michael R. Bartolacci

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The paper recommends an approach to estimate effectively probability of buffer overflow in self-similar queuing networks with finite buffer capacity. Simulations with stochastic (or long-range dependent) traffic source models are conducted. A new efficient algorithm, based on the RESTART method, is developed and applied to accelerate the buffer overflow simulation in a finite buffer single server model under long-range dependent self-similar traffic load with different buffer sizes. Numerical examples and simulation results are provided.

Original languageEnglish (US)
Pages (from-to)144-151
Number of pages8
JournalInternational Journal of Mobile Network Design and Innovation
Volume5
Issue number3
DOIs
StatePublished - Nov 1 2014

All Science Journal Classification (ASJC) codes

  • Software
  • Management Information Systems
  • Computer Networks and Communications
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Buffer overflow simulation in self-similar queuing networks with finite buffer capacity'. Together they form a unique fingerprint.

Cite this