本文選題：彈性光網(wǎng)絡(luò)　切入點(diǎn)：數(shù)據(jù)中心　出處：《中國科學(xué)技術(shù)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：網(wǎng)絡(luò)功能虛擬化(Network Function Virtualization,NFV)技術(shù)旨在利用數(shù)據(jù)中心里的通用設(shè)備實(shí)現(xiàn)網(wǎng)絡(luò)功能,來替換傳統(tǒng)的專有設(shè)備,從而實(shí)現(xiàn)網(wǎng)絡(luò)功能的靈活部署和拆除,提升網(wǎng)絡(luò)管理的智能化。此時(shí)的數(shù)據(jù)中心需要根據(jù)虛擬網(wǎng)絡(luò)功能(Virtual Network Function,VNF)的部署情況,對內(nèi)部資源進(jìn)行調(diào)度,以提高資源利用率。對于彈性光數(shù)據(jù)中心網(wǎng)絡(luò)(Inter-Data Center Elastic Optical Network,Inter-DC EON)中進(jìn)行NFV服務(wù)鏈部署時(shí),其數(shù)據(jù)流量大小在經(jīng)過網(wǎng)絡(luò)功能時(shí)通�？赡茏兓�。這種數(shù)據(jù)流量的動(dòng)態(tài)變化,以及彈性光數(shù)據(jù)中心網(wǎng)絡(luò)中的數(shù)據(jù)流量通常具有高吞吐量和高峰值且高突發(fā)性的特點(diǎn),對底層物理結(jié)構(gòu)提出了新的挑戰(zhàn)。彈性光網(wǎng)絡(luò)所提供頻譜靈活的分配以及大容量的帶寬,給彈性光數(shù)據(jù)中心網(wǎng)絡(luò)中NFV服務(wù)鏈的部署提供了靈活可靠的底層支撐,而且,光網(wǎng)絡(luò)中的NFV服務(wù)鏈還有低功耗等優(yōu)點(diǎn)。但是,這種靈活性就要求上層對網(wǎng)絡(luò)頻譜資源和數(shù)據(jù)中心資源進(jìn)行高效地管理和調(diào)度。本論文中,我們將首先討論在Inter-DC EON網(wǎng)絡(luò)中部署NFV服務(wù)鏈基本單元時(shí)出現(xiàn)的多維資源碎片,研究對頻譜資源碎片和IT資源碎片的聯(lián)合去碎片問題。為了提高Inter-DC EON網(wǎng)絡(luò)中的資源利用率,我們聯(lián)合考慮網(wǎng)絡(luò)中的多維資源和網(wǎng)絡(luò)重新服務(wù)的復(fù)雜性,對多維資源的分配進(jìn)行重新優(yōu)化。對于每一次聯(lián)合去碎片,我們首先研究請求選擇策略,并根據(jù)網(wǎng)絡(luò)資源使用狀態(tài),提出自適應(yīng)請求選擇策略,即,自適應(yīng)從頻譜資源方面和IT資源方面選取請求。然后,我們對選出來的請求進(jìn)行重新服務(wù),首先利用混合整型線性規(guī)劃模型進(jìn)行數(shù)學(xué)建模,接著提出多種高效算法來解決數(shù)學(xué)模型的高復(fù)雜度。仿真結(jié)果表明,本論文中提出的聯(lián)合去碎片算法可以有效地提高頻譜資源和IT資源的利用率,從而降低Inter-DC EON網(wǎng)絡(luò)中請求的阻塞率。接著,本論文詳細(xì)研究了在彈性光數(shù)據(jù)中心網(wǎng)絡(luò)中部署NFV服務(wù)鏈時(shí),頻譜資源與IT資源的聯(lián)合分配問題。對于這個(gè)問題,我們將首先對問題進(jìn)行數(shù)學(xué)建模,然后提出包括基于最長公共子序列的算法等多種高效算法來解決NFV服務(wù)鏈部署問題。最后通過仿真平臺,評估提出的算法性能,驗(yàn)證了聯(lián)合部署算法能夠同時(shí)降低網(wǎng)絡(luò)中的最大帶寬槽下標(biāo)和網(wǎng)絡(luò)中部署的VNF數(shù)量,達(dá)到資源聯(lián)合優(yōu)化的效果。
[Abstract]:Network function virtualization Network Function Virtualization (NFV) technology aims to implement network functions by using universal devices in data centers to replace traditional proprietary devices, so as to achieve flexible deployment and dismantling of network functions. To improve the intelligence of network management, the data center needs to schedule the internal resources according to the deployment of Virtual Network function VNFs. In order to improve resource utilization. When deploying the NFV service chain in the flexible optical data center network Inter-data Center Elastic Optical Network, the size of the data traffic may change when it passes through the network function. As well as the characteristics of high throughput, high peak value and high burst of data traffic in elastic optical data center network, it presents a new challenge to the underlying physical structure. The flexible allocation of spectrum and large capacity bandwidth are provided by elastic optical network. It provides flexible and reliable underlying support for the deployment of NFV service chain in elastic optical data center network. Moreover, the NFV service chain in optical network has the advantages of low power consumption and so on. This flexibility requires the upper layer to efficiently manage and schedule the network spectrum resources and data center resources. In this paper, we will first discuss the multi-dimensional resource fragments that occur when deploying the basic unit of the NFV service chain in the Inter-DC EON network. In order to improve the resource utilization in Inter-DC EON network, we consider the complexity of multi-dimensional resource and network re-service in Inter-DC EON network, in order to improve the resource utilization in Inter-DC EON network, we study the problem of joint defragmentation of spectrum resource and IT resource fragment. For each joint defragmentation, we first study the request selection strategy, and propose an adaptive request selection strategy according to the network resource usage state. Then, we re-service the selected requests, and we first use the mixed integer linear programming model to build mathematical model. Then several efficient algorithms are proposed to solve the high complexity of the mathematical model. Simulation results show that the proposed joint defragmentation algorithm can effectively improve the utilization of spectrum resources and IT resources. In order to reduce the blocking rate of requests in Inter-DC EON networks, this paper studies in detail the joint allocation of spectrum resources and IT resources when deploying NFV service chains in flexible optical data center networks. We will first model the problem, then propose some efficient algorithms, such as algorithms based on longest common subsequences, to solve the problem of NFV service chain deployment. Finally, we evaluate the performance of the proposed algorithm through simulation platform. It is verified that the joint deployment algorithm can reduce the maximum bandwidth slot subscript in the network and the number of VNF deployed in the network at the same time and achieve the effect of joint resource optimization.
【學(xué)位授予單位】：中國科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP308;TN929.1

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