Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/411
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dc.contributor.authorInaty, Elieen_US
dc.contributor.authorSleiman, Marwanen_US
dc.date.accessioned2020-12-23T08:29:56Z-
dc.date.available2020-12-23T08:29:56Z-
dc.date.issued2008-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/411-
dc.description.abstractNowadays there is a tremendous debate about the treatment required for managing the heavily loaded and expanding traffic demands. Building a universal communication system is extremely challenging, given the lack of scalable communication technologies. Researchers have recently been seeking for solutions and expansions for the existing networking models; they have been focusing on optimizing the use of available resources like bandwidth and hardware. In this paper, we studied Internet bandwidth provisioning in Internet access nodes. We gathered Internet traffic and then we use the exponentially weighted moving average (EWMA) and the adaptive dynamic model (ADM) algorithms to predict the traffic bandwidth. Using real Internet traffic, we have shown that the EWMA algorithm is better that the ADM algorithm in provisioning of bandwidth in Internet access nodes.en_US
dc.format.extent4 p.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectBandwidth allocationen_US
dc.subjectMoving average processesen_US
dc.subject.lcshTelecommunication-trafficen_US
dc.subject.lcshInterneten_US
dc.titleBandwidth provisioning in internet access nodes using EWMA and ADM algorithmsen_US
dc.typeConference Paperen_US
dc.relation.conferenceIEEE International Conference on Signal Processing and Communications (24-27 Nov. 2007 : Dubai, United Arab Emirates)en_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.description.startpage528en_US
dc.description.endpage531en_US
dc.date.catalogued2018-05-31-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://ieeexplore.ieee.org/document/4728372/en_US
dc.identifier.OlibID180744-
dc.relation.ispartoftextIEEE International Conference on Signal Processing and Communications, 2007. ICSPC 2007.en_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Electrical Engineering
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