Multiscale Queuing Analysis
dc.citation.bibtexName | techreport | en_US |
dc.citation.journalTitle | Rice University ECE Technical Report | en_US |
dc.contributor.author | Ribeiro, Vinay Joseph | en_US |
dc.contributor.author | Riedi, Rudolf H. | en_US |
dc.contributor.author | Baraniuk, Richard G. | en_US |
dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
dc.date.accessioned | 2007-10-31T01:00:42Z | en_US |
dc.date.available | 2007-10-31T01:00:42Z | en_US |
dc.date.issued | 2004-09-01 | en_US |
dc.date.modified | 2006-07-19 | en_US |
dc.date.submitted | 2004-09-22 | en_US |
dc.description | Tech Report | en_US |
dc.description.abstract | We develop a new approach to queuing analysis for an infinite-length queue with constant service rate fed by an arbitrary traffic process. Our approach is particularly relevant to queues fed with long-range-dependent (LRD) traffic. We use traffic statistics at only a small fixed set of time scales and develop three approximations for the tail queue probability that are easy to implement in practice. These are non-asymptotic, that is they apply to any finite queue threshold. Simulations with LRD traffic models and Internet traces demonstrate their accuracy. Besides non-asymptotic error bounds and asymptotic decay rates for the approximations, we prove an optimality property of exponential time scales. Simulations reveal that the second-order correlation structure of traffic by itself does not determine queuing behavior and that the tails of traffic marginals at different time scales have a strong impact on queuing. | en_US |
dc.identifier.citation | V. J. Ribeiro, R. H. Riedi and R. G. Baraniuk, "Multiscale Queuing Analysis," <i>Rice University ECE Technical Report,</i> 2004. | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/20257 | en_US |
dc.language.iso | eng | en_US |
dc.relation.project | http://spin.rice.edu | en_US |
dc.relation.software | http://www.dsp.rice.edu/software/mwm.shtml | en_US |
dc.subject | queuing | en_US |
dc.subject | long range dependence | en_US |
dc.subject | multiscale | en_US |
dc.subject | trees | en_US |
dc.subject | wavelets | en_US |
dc.subject | critical time scale | en_US |
dc.subject | time scale | en_US |
dc.subject.keyword | queuing | en_US |
dc.subject.keyword | long range dependence | en_US |
dc.subject.keyword | multiscale | en_US |
dc.subject.keyword | trees | en_US |
dc.subject.keyword | wavelets | en_US |
dc.subject.keyword | critical time scale | en_US |
dc.subject.keyword | time scale | en_US |
dc.subject.other | Signal Processing for Networking | en_US |
dc.title | Multiscale Queuing Analysis | en_US |
dc.type | Report | en_US |
dc.type.dcmi | Text | en_US |
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