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Leaky bucket mechanism with learning algorithm for ATM traffic policing

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dc.contributor.author Atlasis Antonios, F en
dc.contributor.author Stassinopoulos Georgios, I en
dc.contributor.author Vasilakos Athanasios, V en
dc.date.accessioned 2014-03-01T02:41:28Z
dc.date.available 2014-03-01T02:41:28Z
dc.date.issued 1997 en
dc.identifier.uri http://hdl.handle.net/123456789/30478
dc.subject Atm Networks en
dc.subject Call Admission Control en
dc.subject Congestion Control en
dc.subject Leaky Bucket en
dc.subject Learning Algorithm en
dc.subject.other Call admission control en
dc.subject.other Leaky bucket mechanism en
dc.subject.other Stochastic estimator learning algorithms (SELA) en
dc.subject.other Computer simulation en
dc.subject.other Congestion control (communication) en
dc.subject.other Finite automata en
dc.subject.other Learning algorithms en
dc.subject.other Probability en
dc.subject.other Random processes en
dc.subject.other Telecommunication traffic en
dc.subject.other Vectors en
dc.subject.other Asynchronous transfer mode en
dc.title Leaky bucket mechanism with learning algorithm for ATM traffic policing en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ISCC.1997.615973 en
heal.identifier.secondary http://dx.doi.org/10.1109/ISCC.1997.615973 en
heal.publicationDate 1997 en
heal.abstract The traffic policing in ATM networks is one of the most critical preventive congestion control mechanisms. It intends to ensure that each source conforms to its traffic parameters negotiated during the Call Admission Control phase. In this paper, we enhance the known Leaky Bucket mechanism with a Learning Algorithm in order to police the distribution of the traffic, observing the values that the counter of the Leaky Bucket takes. As it will be shown, tighter and faster control is achieved by the proposed methodology for any type of traffic source, resulting in more statistical gain and better guarantee of the QoS constraints. en
heal.journalName IEEE Symposium on Computers and Communications - Proceedings en
dc.identifier.doi 10.1109/ISCC.1997.615973 en
dc.identifier.spage 68 en
dc.identifier.epage 72 en


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