Approximation to a Behavioral Model for Estimating Traffic Aggregation Scenarios

dc.creatorGarcia,Alberto
dc.creatorHackbarth,Klaus
dc.date2008
dc.date.accessioned2024-02-06T12:56:19Z
dc.date.available2024-02-06T12:56:19Z
dc.descriptionThis article provides a comparison among different methods for estimating the aggregation of Internet traffic resulting from different users, network-access types and corresponding services. Some approximate models usually used as isolated methods are combined with a temporally scaled ON-OFF model with binomial approximations. The aggregation problem is solved using a new form of parameterization based on the composition of the source traffic accordingly to the concrete characteristics of the users, the accesses and the services. This is a new concept, called CASUAL, included within an overall network planning methodology for the design and dimensioning of Next Generation Internet.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-014-05-0731
dc.identifierhttps://lib.jucs.org/article/29000/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9647
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 14(5): 731-744
dc.subjectnetwork planning
dc.subjecttraffic modeling
dc.subjectnetwork scenario
dc.titleApproximation to a Behavioral Model for Estimating Traffic Aggregation Scenarios
dc.typeResearch Article
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