queuing analysis with traffic models based on deterministic dynamical systems

Clicks: 151
ID: 151146
2004
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Abstract
Measurements of communication traffic from a wide variety of sources have suggested that correlations persist in such sources over fairly long time scales. This has called into question the use of traditional traffic models for the performance analysis of such networks, and has sparked an interest in studying novel kinds of traffic models. In particular, a suggestion has been made to build models based on expanding deterministic dynamical systems. Deterministic dynamical systems can exhibit chaotic behavior, which has many of the features of statistical behavior, and can indeed be studied rigorously using probabilistic techniques. We make some remarks regarding the analysis of queues driven by such traffic models.
Reference Key
anantharam2004computerqueuing Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Venkat Anantharam
Journal integrative medicine research
Year 2004
DOI
DOI not found
URL
http://www.math.md/files/csjm/v12-n2/v12-n2-(pp154-170).pdf
Keywords
computer science queuing systemselectronic computers

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