博碩士論文 962205012 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator賴昱瑋zh_TW
DC.creatorYu-wei Laien_US
dc.date.accessioned2009-6-18T07:39:07Z
dc.date.available2009-6-18T07:39:07Z
dc.date.issued2009
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=962205012
dc.contributor.department統計研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract隨著現代化網路的快速擴張及普及化,網路使用者對於網路服務品質(quality of service;QoS)的要求也越來越高,而網路服務品質通常可藉由工作延遲(job delay)、工作遺失率(job loss rate)等系統表現值來衡量。本文探討一樹狀架構的資料傳輸網路(tree-type of data routing network),並利用點對點(end-to-end)的部份資訊來偵測(或估計)網路連結的工作遺失率(通過率)。本文使用的方法是建立一個統計模型並藉由貝氏方法來解決此問題。最後,我們介紹如何藉由所得到之工作通過率估計值建構一最佳動態的流量控制策略(flow control policy)。 zh_TW
dc.description.abstractAssessing and monitoring the performance of computer and communications networks is an important problem for network engineers. We consider a tree-type of data routing network model, and it has a broad application in real life (public telephone switches, call centers, etc.). Our focus here is on estimating and monitoring network Quality-of-Service (QoS) parameters. The QoS of a network can usually be measured by some system performance such as job delay or job loss rate. In this article , We propose a Bayesian method for detect(or,say,estimate) the job loss rate of edge level parameters from end-to-end path-level measurements, an important engineering problem that raises interesting statistical modeling issues. Further, we introduce how we can use the estimated job loss rate to choose an optimal dynamic flow control policy. en_US
DC.subject服務品質zh_TW
DC.subject工作遺失率zh_TW
DC.subject資料傳輸網路zh_TW
DC.subject流量控制策略zh_TW
DC.subjectquality of serviceen_US
DC.subjectjob loss rateen_US
DC.subjecttree-type of data routing network modelen_US
DC.subjectflow control policyen_US
DC.title資料傳輸網路之貝氏診斷zh_TW
dc.language.isozh-TWzh-TW
DC.titleBayesian Tomography for Data Routing Networksen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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