發(fā)布時(shí)間：2018-07-05 17:12

  本文選題：IP + over��； 參考：《北京郵電大學(xué)》2014年碩士論文

【摘要】：IP業(yè)務(wù)時(shí)延作為一項(xiàng)衡量網(wǎng)絡(luò)性能的指標(biāo),直接關(guān)系到整個(gè)網(wǎng)絡(luò)的服務(wù)質(zhì)量。此外,隨著互聯(lián)網(wǎng)業(yè)務(wù)的增長(zhǎng),光纖入戶的不斷普及,[P業(yè)務(wù)正朝著大顆粒度化轉(zhuǎn)變。因此基于大顆粒度IP業(yè)務(wù)的時(shí)延特性分析已成為當(dāng)前傳送網(wǎng)性能研究的熱點(diǎn)。 經(jīng)過調(diào)研國(guó)內(nèi)外研究情況,目前基于大顆粒度IP業(yè)務(wù)時(shí)延特性主要從以下兩個(gè)方面進(jìn)行研究,一方面針對(duì)單層(IP層)網(wǎng)絡(luò)或光層進(jìn)行研究,另一方面從數(shù)據(jù)業(yè)務(wù)流進(jìn)行討論,只針對(duì)一種類型的單位業(yè)務(wù)數(shù)據(jù)流進(jìn)行研究。這使得研究成果不能很好地反映出傳送網(wǎng)中多層、多種類型業(yè)務(wù)數(shù)據(jù)流的時(shí)延特性。 本文通過對(duì)IP over WDM網(wǎng)絡(luò)結(jié)構(gòu)的深入分析,重點(diǎn)研究承載IP業(yè)務(wù)的大顆粒度傳輸網(wǎng)多等級(jí)、多業(yè)務(wù)流種類的時(shí)延特性。本文一方面綜合考慮光／電兩層網(wǎng)絡(luò)對(duì)IP業(yè)務(wù)的時(shí)延影響,以IP over WDM網(wǎng)絡(luò)模型中的重疊模型和路由算法中的最短路徑算法為基礎(chǔ),將IP層的排隊(duì)時(shí)延,WDM層的O/E/O交換時(shí)延之和的值作為研究對(duì)象,提出一種新的時(shí)延測(cè)算算法。算法由以下三個(gè)過程組成：業(yè)務(wù)產(chǎn)生,業(yè)務(wù)調(diào)度和業(yè)務(wù)丟棄,其中業(yè)務(wù)產(chǎn)生采用自相似模型中的分形布朗運(yùn)動(dòng),業(yè)務(wù)調(diào)度采用加權(quán)輪詢調(diào)度算法,業(yè)務(wù)丟棄則根據(jù)節(jié)點(diǎn)的容量。另一方面,由于一條業(yè)務(wù)在IP over WDM網(wǎng)絡(luò)中的傳輸會(huì)經(jīng)歷從IP層多個(gè)數(shù)據(jù)包到WDM層少量光突發(fā)再到IP層多個(gè)數(shù)據(jù)包的變化過程,因而本文在測(cè)算業(yè)務(wù)時(shí)延過程中考慮了業(yè)務(wù)的完整性因素。 最后,本文利用多層網(wǎng)絡(luò)規(guī)劃系統(tǒng)對(duì)算法進(jìn)行仿真實(shí)現(xiàn)并分析了業(yè)務(wù)分配帶寬權(quán)重的標(biāo)準(zhǔn)差和業(yè)務(wù)數(shù)量對(duì)IP業(yè)務(wù)時(shí)延的影響。大量的實(shí)驗(yàn)仿真結(jié)果表明,提出的時(shí)延測(cè)算算法,不但能夠動(dòng)態(tài)地測(cè)量大顆粒度IP業(yè)務(wù)時(shí)延,而且可以通過控制業(yè)務(wù)的權(quán)重標(biāo)準(zhǔn)差來降低時(shí)延。
[Abstract]:As an indicator of network performance, IP service delay is directly related to the quality of service of the whole network. In addition, with the growth of the Internet service and the continuous popularization of the fiber into the household, the [P service is changing to a large granularity. Therefore, the time-delay analysis based on the large granularity IP service has become a hot issue in the performance research of the current transmission network. Point.
After investigating domestic and foreign research, the time delay characteristics of large particle IP service are mainly studied in the following two aspects. One is to study the single layer (IP layer) network or light layer, and on the other hand, the data traffic flow is discussed, only one type of unit traffic data flow is studied. It can well reflect the delay characteristics of multilayer and multiple types of traffic data in transport network.
Through in-depth analysis of the structure of IP over WDM network, this paper focuses on the multilevel transmission network with large granularity and the time delay characteristic of multi service flow type. On the one hand, this paper comprehensively considers the delay effect of the optical / electricity two layer network on the IP service, and the shortest path in the IP over WDM network model and the shortest path in the routing algorithm. Based on the path algorithm, the queuing delay of IP layer and the sum of the O/E/O exchange delay of the WDM layer are used as the research object, and a new time delay estimation algorithm is proposed. The algorithm is composed of three processes: business generation, business scheduling and service discarding, in which the service produces fractal Brown motion in the self phase like model and the business scheduling is added. The traffic discarding is based on the capacity of the node. On the other hand, because the transmission of a service in the IP over WDM network will undergo a change from a small number of packets in the IP layer to a small amount of light burst in the WDM layer to a number of data packets in the IP layer, this paper takes into account the integrity factors of the service in the process of calculating the service delay.
Finally, this paper simulates the algorithm by using the multi-layer network programming system and analyzes the influence of the standard deviation of the service allocation bandwidth weight and the number of services on the IP service delay. A large number of experimental simulation results show that the proposed time delay estimation algorithm can not only dynamically measure the time delay of large particle size IP, but also can be controlled by control. The weight standard deviation of the business is reduced to reduce the delay.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.06

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本文編號(hào)：2101041