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dc.contributor.authorWardi, Yorai
dc.contributor.authorRiley, George F.
dc.date.accessioned2007-01-11T22:47:11Z
dc.date.available2007-01-11T22:47:11Z
dc.date.issued2002
dc.identifier.urihttp://hdl.handle.net/1853/13152
dc.description©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en
dc.descriptionPresented at the Sixth International Workshop on Discrete Event Systems (WODES), 2002
dc.description.abstractThis paper considers congestion-related performance metrics in tandem networks of Stochastic Fluid Models (SFMs), and derives their IPA gradient estimators with respect to buffer sizes. Specifically, the performance metrics in question are the total loss volume and the cumulative buffer workload (buffer contents), and the control parameter consists of buffer limits at both the node where the performance is measured and at an upstream node. The IPA estimators are unbiased and nonparametric, and hence can be computed on-line from field measurements as well as off-line from simulation experiments. The IPA derivatives are applied to packet-based networks, where simulation results support the theoretical developments. Possible applications to congestion management in telecommunications networks are discussed.en
dc.format.extent305312 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen
dc.publisherGeorgia Institute of Technologyen
dc.subjectPacket switchingen
dc.subjectPerturbation techniquesen
dc.subjectStochastic systemsen
dc.subjectTelecommunication congestion controlen
dc.subjectTelecommunication network managementen
dc.titleIPA for Loss Volume and Buffer Workload in Tandem SFMen
dc.typeProceedingsen
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineering
dc.publisher.originalInstitute of Electrical and Electronics Engineers, Inc., New York


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