dc.contributor.author | Wardi, Yorai | |
dc.contributor.author | Riley, George F. | |
dc.date.accessioned | 2007-01-11T22:47:11Z | |
dc.date.available | 2007-01-11T22:47:11Z | |
dc.date.issued | 2002 | |
dc.identifier.uri | http://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.description | Presented at the Sixth International Workshop on Discrete Event Systems (WODES), 2002 | |
dc.description.abstract | This 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.extent | 305312 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en |
dc.publisher | Georgia Institute of Technology | en |
dc.subject | Packet switching | en |
dc.subject | Perturbation techniques | en |
dc.subject | Stochastic systems | en |
dc.subject | Telecommunication congestion control | en |
dc.subject | Telecommunication network management | en |
dc.title | IPA for Loss Volume and Buffer Workload in Tandem SFM | en |
dc.type | Text | |
dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | |
dc.publisher.original | Institute of Electrical and Electronics Engineers, Inc., New York | |
dc.type.genre | Proceedings | |