Publication:
Markov-modulated Bernoulli-based Performance Analysis for BLUE Algorithm under Bursty and Correlated Traffics

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dc.ConferencecodeIEEE Malaysia Sect, IEEE Comp Soc Malaysia Chapter, UniMAP, CN
dc.ConferencedateSEP 02-04, 2014
dc.ConferencelocationMALAYSIA
dc.Conferencename1st International Conference on Computer, Communications, and Control Technology (I4CT)
dc.contributor.authorSaaidah, AMen_US
dc.contributor.authorJali, MZen_US
dc.contributor.authorMarhusin, MFen_US
dc.contributor.authorAbdel-Jaber, Hen_US
dc.date.accessioned2024-05-29T02:59:52Z
dc.date.available2024-05-29T02:59:52Z
dc.date.issued2014
dc.description.abstractIn this study, the discrete-time performance of BLUE algorithms under bursty and correlated traffics is analyzed using two-state Markov-modulated Bernoulli arrival process (BLUE-MMBP-2). A two-dimensional discrete-time Markov chain is used to model the BLUE algorithm for two traffic classes, in which each dimension corresponds to a traffic class and the parameters of that traffic class. The MMBP is used to replace the conventional and widely-used Bernoulli process (BP) in evaluating and proposing analytical models based on the BLUE algorithm. The BP captures neither the traffic correlation nor the burstiness. The proposed approach is simulated, and the obtained results are compared with that of the BLUE-BP, which can modulate a single traffic class only. The comparison is performed in terms of mean queue length (mql), average queuing delay (D), throughput, packet loss, and dropping probability (DP). The results show that during congestion, particularly heavy congestion under bursty and correlated traffics, the BLUE-MMBP-2 algorithm provides better mql, D, and DP than the BLUE-BP.
dc.identifier.epage14
dc.identifier.scopusWOS:000393422300003
dc.identifier.spage9
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11757
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEEen_US
dc.relation.ispartof2014 International Conference On Computer, Communications, And Control Technology (I4ct)
dc.sourceWeb Of Science (ISI)
dc.subjectcongestion controlen_US
dc.subjectMarkov-modulated Bernoulli processen_US
dc.subjectBLUE algorithmen_US
dc.subjectperformance evaluationen_US
dc.titleMarkov-modulated Bernoulli-based Performance Analysis for BLUE Algorithm under Bursty and Correlated Traffics
dc.typeProceedings Paperen_US
dspace.entity.typePublication

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