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Markov-modulated bernoulli-based performance analysis for gentle BLUE and BLUE algorithms under bursty and correlated traffic

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dc.citedby4
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsArab Open University
dc.contributor.authorAlsaaidah A.en_US
dc.contributor.authorZalisham M.en_US
dc.contributor.authorFadzli M.en_US
dc.contributor.authorAbdel-Jaber H.en_US
dc.date.accessioned2024-05-28T08:30:06Z
dc.date.available2024-05-28T08:30:06Z
dc.date.issued2016
dc.description.abstractThis paper presents a performance study for Gentle BLUE (GB) under the bursty and correlated properties of aggregated network traffic. The Bernoulli Process (BP) fails to represent the properties of aggregated correlated and bursty traffic, so instead of that, MMBP has been used. MMBP is A 2D discrete-time Markov chain modeling for GB algorithm with two traffic classes, each with its own parameters. The proposed model is compared with the GB that uses the BP as a source model (GB-BP) and original BLUE that uses the BP (BLUE-BP) and MMBP (BLUE-MMBP-2) as source model. The evaluation is conducted in term of queuing waiting time, mean queue length, throughput, packet loss and dropping probability. When congestion (e.g., heavy congestion) occurs, the results show that GBMMBP- 2 provides the bestmean queue length, queuing time and packet loss among the compared methods. � 2016 Adeeb Alsaaidah, Mohd Zalisham, Mohd Fadzli and Hussein Abdel-Jaber.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3844/jcssp.2016.289.299
dc.identifier.epage299
dc.identifier.issn15493636
dc.identifier.issue6
dc.identifier.scopus2-s2.0-84984820666
dc.identifier.spage289
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84984820666&doi=10.3844%2fjcssp.2016.289.299&partnerID=40&md5=49f4144670cefc9bd6dcd1ae5ffe238e
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8933
dc.identifier.volume12
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherScience Publicationsen_US
dc.relation.ispartofOpen Accessen_US
dc.relation.ispartofJournal of Computer Science
dc.sourceScopus
dc.subjectCongestion controlen_US
dc.subjectGentle BLUEen_US
dc.subjectMarkov modulated bernoulli processen_US
dc.subjectPerformance evaluationen_US
dc.subjectQueue managementen_US
dc.titleMarkov-modulated bernoulli-based performance analysis for gentle BLUE and BLUE algorithms under bursty and correlated trafficen_US
dc.title.alternativeJ. Comput. Sci.en_US
dc.typeArticleen_US
dspace.entity.typePublication

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