Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/44544
DC FieldValueLanguage
dc.contributor.authorOuyang, Y.C.en_US
dc.contributor.author歐陽彥杰zh_TW
dc.contributor.authorYang, C.W.en_US
dc.contributor.authorLian, W.S.en_US
dc.date2006zh_TW
dc.date.accessioned2014-06-06T08:12:24Z-
dc.date.available2014-06-06T08:12:24Z-
dc.identifier.issn0926-6801zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/44544-
dc.description.abstractThis work presents a novel feedback rate regulator using the multiple leaky bucket (MLB) for variable bit rate (VBR) self-similar traffic that is based on the traffic load prediction by time-delayed neural networks in ATM networks. In the MLB mechanism, the leak rate and buffer capacity of each leaky bucket (LB) can be dynamically adjusted based on the buffer occupancy. A finite-duration impulse response (FIR) multilayer neural network is used to predict the incoming traffic load and pass the information to the feedback rate regulator. Ten real world MPEG1 and ten synthesized traffic traces are used to validate the performance of the MLB and the MLB with an FIR prediction mechanism. Simulation results demonstrate that the cell loss rate using MLB and MLB with an FIR filter-based predictor can be significantly reduced compare to the conventional leaky bucket method.en_US
dc.language.isoen_USzh_TW
dc.relationJournal of High Speed Networksen_US
dc.relation.ispartofseriesJournal of High Speed Networks, Volume 15, Issue 2, Page(s) 111-122.en_US
dc.subjectATM networksen_US
dc.subjectmultiple leaky bucket (MLB)en_US
dc.subjectneural networksen_US
dc.subjectself-similarityen_US
dc.subjecttraffic controlen_US
dc.subjectatm networksen_US
dc.subjectvideoen_US
dc.titleNeural networks based variable bit rate traffic prediction for traffic control using multiple leaky bucketen_US
dc.typeJournal Articlezh_TW
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en_US-
item.openairetypeJournal Article-
item.grantfulltextnone-
item.fulltextno fulltext-
item.cerifentitytypePublications-
Appears in Collections:電機工程學系所
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