Dynamic capacity management for voice over packet networks

dc.citation.epage1104en_US
dc.citation.spage1099en_US
dc.contributor.authorAkar, Nailen_US
dc.contributor.authorŞahin, Cemen_US
dc.coverage.spatialKemer-Antalya, Turkey
dc.date.accessioned2016-02-08T11:55:15Z
dc.date.available2016-02-08T11:55:15Z
dc.date.issued2003-06-07en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 30 June- 3 July, 2003
dc.descriptionConference name: Proceedings of the Eighth IEEE Symposium on Computers and Communications. ISCC 2003
dc.description.abstractIn this paper, dynamic capacity management refers to the process of dynamically changing the capacity allocation (reservation) of a pseudo-wire established between two network end points. This process is based on certain criteria including instantaneous traffic load for the pseudo-wire, network utilization, time of day, or day of week. Frequent adjustment of the capacity yields a scalability issue in the form of a significant amount of message processing in the network elements involved in the capacity update process. On the other hand, if the capacity is adjusted once and for the worst possible traffic conditions, a significant amount of bandwidth may be wasted depending on the actual traffic load. There is then a need for dynamic capacity management that takes into account the tradeoff between scalability and bandwidth efficiency. This problem is motivated by voice over packet networks in which end-to-end reservation requests are initiated by PSTN voice calls and these reservations are aggregated into one signal reservation in the core packet network for scalability. In this paper, we introduce a Markov decision framework for an optimal reservation aggregation scheme for voice over packet networks. Moreover, for problems with large sizes, we provide a suboptimal scheme using reinforcement learning. We show a significant improvement in bandwidth efficiency in voice over packet networks using aggregate reservations. © 2003 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:55:15Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2003en
dc.identifier.doi10.1109/ISCC.2003.1214261en_US
dc.identifier.issn1530-1346
dc.identifier.urihttp://hdl.handle.net/11693/27504
dc.language.isoEnglishen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISCC.2003.1214261en_US
dc.source.titleProceedings of the Eighth IEEE Symposium on Computers and Communications. ISCC 2003en_US
dc.subjectAggregate reservationen_US
dc.subjectAggregation schemesen_US
dc.subjectBandwidth efficiencyen_US
dc.subjectCapacity allocationen_US
dc.subjectMessage processingen_US
dc.subjectNet work utilizationen_US
dc.subjectReservation requesten_US
dc.subjectSub-optimal schemesen_US
dc.subjectAggregatesen_US
dc.subjectCommunicationen_US
dc.subjectReinforcement learningen_US
dc.subjectScalabilityen_US
dc.subjectWireen_US
dc.subjectPacket networksen_US
dc.titleDynamic capacity management for voice over packet networksen_US
dc.typeConference Paperen_US

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