本文關(guān)鍵詞： SDN OpenFlow 數(shù)據(jù)中心網(wǎng)絡(luò) 老鼠流 大象流　出處：《湘潭大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著社交網(wǎng)絡(luò)、移動(dòng)互聯(lián)網(wǎng)、物聯(lián)網(wǎng)等業(yè)務(wù)領(lǐng)域的發(fā)展,數(shù)據(jù)中心作為這些業(yè)務(wù)所依賴的基礎(chǔ)設(shè)施,已經(jīng)發(fā)生了許多重大的變化。數(shù)據(jù)中心網(wǎng)絡(luò)規(guī)模的不斷增大,網(wǎng)絡(luò)業(yè)務(wù)呈現(xiàn)多樣化、復(fù)雜化,使得網(wǎng)絡(luò)流量快速增長(zhǎng),因此數(shù)據(jù)中心網(wǎng)絡(luò)流量的調(diào)度成為了一個(gè)研究熱點(diǎn)。由于傳統(tǒng)網(wǎng)絡(luò)靜態(tài)的運(yùn)作模式和僵硬的管理方法,不能靈活、快速、智能的調(diào)度底層網(wǎng)絡(luò)流量,使得數(shù)據(jù)中心內(nèi)的流量調(diào)度研究發(fā)展緩慢。SDN作為新興的網(wǎng)絡(luò)架構(gòu),實(shí)現(xiàn)了網(wǎng)絡(luò)控制與轉(zhuǎn)發(fā)的分離,利用集中的方式來(lái)實(shí)現(xiàn)網(wǎng)絡(luò)的轉(zhuǎn)發(fā)功能以及細(xì)粒度的流量控制能力,使得SDN技術(shù)在數(shù)據(jù)中心網(wǎng)絡(luò)中有著廣泛的應(yīng)用和部署。本文通過(guò)將SDN技術(shù)應(yīng)用到數(shù)據(jù)中心網(wǎng)絡(luò)中,提出了一種基于SDN的實(shí)時(shí)流量調(diào)度方法(Real-time Traffic Scheduling Method based on SDN,RTSM-SDN),使得流量調(diào)度更加靈活智能,從而提高了網(wǎng)絡(luò)資源利用率。本文的主要工作和創(chuàng)新如下。(1)分析了數(shù)據(jù)中心內(nèi)流量調(diào)度相關(guān)研究背景和現(xiàn)狀,傳統(tǒng)的等價(jià)多路徑流量調(diào)度算法已經(jīng)不能滿足需求。結(jié)合流量調(diào)度的實(shí)現(xiàn)原理,將SDN技術(shù)應(yīng)用到數(shù)據(jù)中心網(wǎng)絡(luò)中。在SDN網(wǎng)絡(luò)架構(gòu)下,通過(guò)控制器與交換機(jī)之間OpenFlow消息的交互,可以獲得底層網(wǎng)絡(luò)的性能參數(shù)(當(dāng)前鏈路可用帶寬、鏈路時(shí)延、丟包率等)。在計(jì)算路由時(shí)將這些實(shí)時(shí)獲取的參數(shù)加入到路由計(jì)算度量中,這樣在計(jì)算路徑時(shí)既考慮了網(wǎng)絡(luò)拓?fù)?同時(shí)也考慮了網(wǎng)絡(luò)當(dāng)前狀況,盡可能避免了網(wǎng)絡(luò)擁塞,提高了網(wǎng)絡(luò)服務(wù)質(zhì)量。(2)結(jié)合數(shù)據(jù)中心網(wǎng)絡(luò)流量特點(diǎn),根據(jù)大象流與老鼠流的傳輸需求,將獲取的實(shí)時(shí)鏈路時(shí)延和丟包率作為老鼠流傳輸?shù)穆酚捎?jì)算度量,將鏈路當(dāng)前可用帶寬作為大象流傳輸?shù)穆酚捎?jì)算度量,在此基礎(chǔ)上再加入傳輸時(shí)延的硬閾值作為限制條件,建立目標(biāo)函數(shù),即最小化網(wǎng)絡(luò)的路由度量。實(shí)驗(yàn)表明,在傳輸時(shí)延、網(wǎng)絡(luò)整體吞吐量以及數(shù)據(jù)包重傳次數(shù)三個(gè)性能指標(biāo)下,RTSM-SDN方案與ECMP、Hedera、RepFlow相比,能在保障老鼠流傳輸?shù)耐瑫r(shí),也很好地保障了大象流的傳輸,大大增加了網(wǎng)絡(luò)吞吐量和鏈路利用率。
[Abstract]:With the development of social network, mobile Internet, Internet of things and so on, data center, as the infrastructure on which these services depend, has undergone many important changes. The network traffic is diversified and complicated, which makes the network traffic grow rapidly. Therefore, the scheduling of network traffic in data center becomes a research hotspot. Because of the static operation mode and rigid management method of traditional network, it is not flexible. The rapid and intelligent scheduling of the underlying network traffic makes the research of traffic scheduling in the data center develop slowly. SDN as a new network architecture realizes the separation of network control and forwarding. Using centralized method to realize network forwarding function and fine-grained flow control ability, SDN technology has been widely used and deployed in data center network. This paper applies SDN technology to data center network. This paper presents a real-time traffic scheduling method based on SDN, which makes real-time Traffic Scheduling Method based on SDN RTSM-SDN (RTSM-SDN) more flexible and intelligent. The main work and innovation of this paper are as follows: 1) the research background and current situation of traffic scheduling in data center are analyzed. The traditional equivalent multi-channel runoff scheduling algorithm can no longer meet the demand. Combined with the realization principle of traffic scheduling, the SDN technology is applied to the data center network. Under the SDN network architecture, the exchange of OpenFlow messages between the controller and the switch is achieved. The performance parameters of the underlying network (current link available bandwidth, link delay, packet loss rate, etc.) can be obtained. At the same time, it also considers the current situation of the network, avoids the network congestion as far as possible, improves the network service quality and combines the characteristics of the network traffic in the data center, according to the transmission requirements of the elephant flow and the mouse flow. The obtained real-time link delay and packet loss rate are used as the routing calculation metrics for rat stream transmission, and the current available link bandwidth is used as the routing calculation metric for elephant stream transmission. On this basis, the hard threshold of transmission delay is added as the limiting condition. The objective function is to minimize the routing metric of the network. Experiments show that RTSM-SDN scheme can guarantee rat stream transmission at the same time as ECMPN Hedera RepFlow under three performance indexes: transmission delay, overall network throughput and packet retransmission times. It also ensures the transmission of elephant stream and greatly increases network throughput and link utilization.
【學(xué)位授予單位】：湘潭大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP393.0

【參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 周桐慶;蔡志平;夏竟;徐明;;基于軟件定義網(wǎng)絡(luò)的流量工程[J];軟件學(xué)報(bào);2016年02期

2 魏祥麟;陳鳴;范建華;張國(guó)敏;盧紫毅;;數(shù)據(jù)中心網(wǎng)絡(luò)的體系結(jié)構(gòu)[J];軟件學(xué)報(bào);2013年02期

3 王聰;王翠榮;王興偉;蔣定德;;面向云計(jì)算的數(shù)據(jù)中心網(wǎng)絡(luò)體系結(jié)構(gòu)設(shè)計(jì)[J];計(jì)算機(jī)研究與發(fā)展;2012年02期

4 丁澤柳;郭得科;申建偉;羅愛(ài)民;羅雪山;;面向云計(jì)算的數(shù)據(jù)中心網(wǎng)絡(luò)拓?fù)溲芯縖J];國(guó)防科技大學(xué)學(xué)報(bào);2011年06期

，

本文編號(hào)：1543223