本文關(guān)鍵詞： SDN 數(shù)據(jù)中心 流量工程 負(fù)載均衡 胖樹拓?fù)?LLDP　出處：《杭州電子科技大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：數(shù)據(jù)中心作為重要的信息化基礎(chǔ)設(shè)施,在云計(jì)算飛速發(fā)展的過程中一直處于核心地位。數(shù)據(jù)中心網(wǎng)絡(luò)流量與互聯(lián)網(wǎng)流量有很大不同,新興的業(yè)務(wù)致使不同的虛擬機(jī)之間產(chǎn)生大量的數(shù)據(jù)中心內(nèi)部流量。同時(shí),數(shù)據(jù)中心規(guī)模的爆炸式增長(zhǎng)讓傳統(tǒng)數(shù)據(jù)中心網(wǎng)絡(luò)力不從心,不充分的資源分配帶來了鏈路擁塞和端到端時(shí)延的增大,嚴(yán)重制約著數(shù)據(jù)中心性能和服務(wù)質(zhì)量進(jìn)一步提高,一種新的網(wǎng)絡(luò)管理模式勢(shì)在必行。基于SDN的數(shù)據(jù)中心網(wǎng)絡(luò)有著傳統(tǒng)數(shù)據(jù)中心網(wǎng)絡(luò)無法比擬的優(yōu)勢(shì)。SDN控制器基于全局網(wǎng)絡(luò)視圖,結(jié)合當(dāng)前網(wǎng)絡(luò)資源的實(shí)時(shí)性能和狀態(tài)為數(shù)據(jù)流量做出最優(yōu)的路由判決,從而達(dá)到更好的負(fù)載均衡效果。本文從以下五個(gè)方面進(jìn)行研究:(1)概述了數(shù)據(jù)中心網(wǎng)絡(luò)的研究背景和意義,對(duì)SDN技術(shù)在多種網(wǎng)絡(luò)場(chǎng)景下的應(yīng)用現(xiàn)狀進(jìn)行了歸納,著重研究了SDN在數(shù)據(jù)中心網(wǎng)絡(luò)流量工程中的應(yīng)用現(xiàn)狀。(2)闡述了SDN的定義和架構(gòu),包括OpenFlow協(xié)議、控制器、交換機(jī)以及控制器與交換機(jī)之間的安全通道,對(duì)各Open Flow協(xié)議版本進(jìn)行了比較,然后著重介紹了本文中使用的Ryu控制器及其開發(fā)流程。(3)建立了基于數(shù)據(jù)中心Fat-Tree網(wǎng)絡(luò)的ECMP(Equal Cost Multi Path)數(shù)學(xué)模型,然后在此基礎(chǔ)上提出了基于端到端鏈路利用率的ECMP模擬退火算法(SA-ECMP),并使用該算法為等價(jià)路徑計(jì)算合適的流量分配比例。(4)介紹了本文中Ryu控制器的總體思想,并分模塊闡述了系統(tǒng)的實(shí)現(xiàn)原理,包括基于LLDP的拓?fù)浒l(fā)現(xiàn)模塊、鏈路狀態(tài)獲取模塊、流表下發(fā)模塊和拓?fù)湟晥D模塊。(5)利用Mininet網(wǎng)絡(luò)仿真平臺(tái),實(shí)現(xiàn)了對(duì)數(shù)據(jù)中心網(wǎng)絡(luò)的模擬,并對(duì)本文提出的SA-ECMP算法進(jìn)行了仿真驗(yàn)證。該算法相比于文獻(xiàn)中提到的其他算法,提高了數(shù)據(jù)中心網(wǎng)絡(luò)中的鏈路帶寬利用率,降低了端到端傳輸時(shí)延,收到了較好的負(fù)載均衡效果。
[Abstract]:As an important information infrastructure, data center has always been in the core position in the rapid development of cloud computing. Data center network traffic is very different from Internet traffic. New businesses have created a lot of internal traffic between different virtual machines. Meanwhile, the explosion in the size of data centers has left traditional data center networks unable to cope. Inadequate resource allocation leads to the increase of link congestion and end-to-end delay, which seriously restricts the performance of data centers and the further improvement of quality of service. A new network management mode is imperative. The data center network based on SDN has unparalleled advantages over the traditional data center network. The controller is based on the global network view. Combined with the real-time performance and state of current network resources, the optimal routing decision is made for the data traffic, so as to achieve better load balancing effect. In this paper, the research background and significance of data center network are summarized from the following five aspects: 1. This paper sums up the application status of SDN technology in various network scenarios, and emphatically studies the application status of SDN in data center network traffic engineering.) the definition and architecture of SDN are expounded, including OpenFlow protocol, controller, etc. The Open Flow protocol versions are compared between the switch and the secure channel between the controller and the switch. Then, the paper introduces the Ryu controller and its development flow in this paper, and establishes the mathematical model of ECMP(Equal Cost Multi path based on the Fat-Tree network of data center. Then, an ECMP simulated annealing algorithm based on end-to-end link utilization is proposed, and the algorithm is used to calculate the appropriate traffic allocation ratio for equivalent paths. The general idea of the Ryu controller in this paper is introduced. The realization principle of the system is described in detail, including the topology discovery module based on LLDP, the link state acquisition module, the stream table sending module and the topology view module. (5) using the Mininet network simulation platform, the simulation of the data center network is realized. The proposed SA-ECMP algorithm is verified by simulation. Compared with other algorithms mentioned in the literature, the proposed algorithm improves the bandwidth utilization of the data center network and reduces the end-to-end transmission delay. Good load balancing effect has been obtained.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP393.0;TP308

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本文編號(hào)：1551875