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Packet-level traffic control for the Internet: A framework and its experimental validation

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dc.contributor.author Vayias, E en
dc.contributor.author Soldatos, J en
dc.contributor.author Mitrou, N en
dc.date.accessioned 2014-03-01T02:42:08Z
dc.date.available 2014-03-01T02:42:08Z
dc.date.issued 2002 en
dc.identifier.issn 0166-5316 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30811
dc.subject Admission control en
dc.subject Experiments en
dc.subject Shaping en
dc.subject Traffic model en
dc.subject.classification Computer Science, Hardware & Architecture en
dc.subject.classification Computer Science, Theory & Methods en
dc.subject.other Bandwidth en
dc.subject.other Multiplexing en
dc.subject.other Packet networks en
dc.subject.other Quality of service en
dc.subject.other Queueing networks en
dc.subject.other Resource allocation en
dc.subject.other Telecommunication traffic en
dc.subject.other Packet-level traffic control en
dc.subject.other Internet en
dc.title Packet-level traffic control for the Internet: A framework and its experimental validation en
heal.type conferenceItem en
heal.identifier.primary 10.1016/S0166-5316(02)00031-7 en
heal.identifier.secondary http://dx.doi.org/10.1016/S0166-5316(02)00031-7 en
heal.language English en
heal.publicationDate 2002 en
heal.abstract This paper presents a theoretical framework, which can be the basis for traffic control and resource management mechanisms, that provide QoS with quantitative guarantees in the Internet. The starting point is a fairly general traffic shaping algorithm for effective rate enforcement which is based on a packet spacing law. Multiplexing several independent shaped streams results in a tight upper bound to the queue-length distribution at the multiplexer. The algorithm effectively works with any kind of input traffic (non-stationary, non-Markovian, heterogeneous, long-range dependent (LRD), etc.). Based on the definition of shaped streams, we devise mechanisms for aggregating, splitting and policing such streams without affecting the queuing performance at subsequent network, nodes. Also, a calculus for end-to-end QoS in this framework is presented. The theoretical statements are supported by simulation and experimental results on a network testbed. Since the enforced effective rate features the convenient additivity property Sigma(i)f(i) = C, it can be handily used for many traffic control and accounting functions, like policing, admission control, bandwidth allocation and charging. (C) 2002 Elsevier Science B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Performance Evaluation en
dc.identifier.doi 10.1016/S0166-5316(02)00031-7 en
dc.identifier.isi ISI:000175584200005 en
dc.identifier.volume 48 en
dc.identifier.issue 1-4 en
dc.identifier.spage 67 en
dc.identifier.epage 85 en


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