Loss fluctuations and temporal correlations in network queues

Igor V. Lerner, Igor Yurkevich, Alexander Stepanenko, Constantinos Constantinou

Research output: Chapter in Book/Published conference outputConference publication

Abstract

We consider data losses in a single node of a packet- switched Internet-like network. We employ two distinct models, one with discrete and the other with continuous one-dimensional random walks, representing the state of a queue in a router. Both models have a built-in critical behavior with a sharp transition from exponentially small to finite losses. It turns out that the finite capacity of a buffer and the packet-dropping procedure give rise to specific boundary conditions which lead to strong loss rate fluctuations at the critical point even in the absence of such fluctuations in the data arrival process.
Original languageEnglish
Title of host publication6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, 2008 (WiOPT 2008)
PublisherIEEE
Pages534-539
Number of pages6
ISBN (Print)978-963-9799-18-9
DOIs
Publication statusPublished - Mar 2008
Event6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, 2008 (WiOPT 2008) - Berlin, Germany
Duration: 1 Apr 20083 Apr 2008

Workshop

Workshop6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, 2008 (WiOPT 2008)
Country/TerritoryGermany
CityBerlin
Period1/04/083/04/08

Bibliographical note

© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Fingerprint

Dive into the research topics of 'Loss fluctuations and temporal correlations in network queues'. Together they form a unique fingerprint.

Cite this