本文選題：數(shù)據(jù)中心網(wǎng)絡(luò) + 軟件定義網(wǎng)絡(luò)　； 參考：《西南大學(xué)》2017年碩士論文

【摘要】：隨著云計(jì)算網(wǎng)絡(luò)的快速發(fā)展,作為云計(jì)算基礎(chǔ)框架的數(shù)據(jù)中心網(wǎng)絡(luò)吸引了來(lái)自學(xué)術(shù)界和工業(yè)界的廣泛關(guān)注,并得到了高速發(fā)展。諸如數(shù)據(jù)收集、視頻內(nèi)容托管交互、社交網(wǎng)絡(luò)等網(wǎng)絡(luò)應(yīng)用都需要依靠數(shù)據(jù)中心網(wǎng)絡(luò)的支撐,在數(shù)據(jù)中心網(wǎng)絡(luò)迅猛發(fā)展的同時(shí),其各項(xiàng)性能指標(biāo)所受到的檢驗(yàn)也日趨嚴(yán)格。軟件定義網(wǎng)絡(luò)(SDN)技術(shù)越來(lái)越多地被運(yùn)用到數(shù)據(jù)中心網(wǎng)絡(luò)的管理與構(gòu)建當(dāng)中,以更好地實(shí)現(xiàn)對(duì)數(shù)據(jù)中心網(wǎng)絡(luò)的全局部署。在SDN控制中,單個(gè)控制器控制的數(shù)據(jù)中心網(wǎng)絡(luò)由于控制器本身性能的限制,其可控制的服務(wù)器數(shù)量相對(duì)有限,勢(shì)必?zé)o法滿足云計(jì)算網(wǎng)絡(luò)的快速發(fā)展對(duì)數(shù)據(jù)中心網(wǎng)絡(luò)可擴(kuò)展性的要求。多區(qū)域多控制器數(shù)據(jù)中心網(wǎng)絡(luò)通過(guò)增加控制器數(shù)量增強(qiáng)對(duì)數(shù)據(jù)中心網(wǎng)絡(luò)的整體控制,以滿足大型數(shù)據(jù)中心網(wǎng)絡(luò)對(duì)于可擴(kuò)展性及穩(wěn)定性的要求。然而由于控制器只對(duì)其所控制的區(qū)域網(wǎng)絡(luò)負(fù)責(zé),因而需確�？刂破髦g信息的一致性才能避免多控制器系統(tǒng)的崩潰,從而需要在控制器之間進(jìn)行信息同步�，F(xiàn)有的控制器之間的同步算法是一種基于時(shí)間的周期同步算法,然而不論是采用定時(shí)更新還是定時(shí)更新與實(shí)時(shí)更新混合的周期同步算法都可能導(dǎo)致網(wǎng)絡(luò)信息的不一致性,從而致使整個(gè)網(wǎng)絡(luò)具有較高的丟包率和較差的負(fù)載平衡。為了保證網(wǎng)絡(luò)的一致性,本文提出了一個(gè)基于事件觸發(fā)的主動(dòng)同步算法,在本文的算法中,控制器之間的信息同步是根據(jù)選定的服務(wù)器上的負(fù)載是否超過(guò)其所在區(qū)域的所有服務(wù)器總負(fù)載的平均值而被觸發(fā)的。因?yàn)橄噍^于基于時(shí)間的同步而言,基于事件觸發(fā)同步有更好的靈活性,使得主動(dòng)同步算法不僅對(duì)負(fù)載變化更為敏感,也消除了同步與時(shí)間之間的關(guān)聯(lián),避免了整個(gè)網(wǎng)絡(luò)中轉(zhuǎn)發(fā)環(huán)的出現(xiàn)。仿真實(shí)驗(yàn)結(jié)果表明,與現(xiàn)有的周期同步算法相比,主動(dòng)同步算法在丟包率和負(fù)載平衡方面有著更好的性能。而在相近的負(fù)載平衡性能表現(xiàn)下,主動(dòng)同步算法相比周期同步算法也有著更少的同步開銷。在提出了多個(gè)控制器控制下的數(shù)據(jù)中心網(wǎng)絡(luò)的主動(dòng)同步算法之后,本文通過(guò)網(wǎng)絡(luò)中的鏈路負(fù)載作為事件狀態(tài),負(fù)載的變化視為離散事件,將數(shù)據(jù)中心網(wǎng)絡(luò)建立為一個(gè)五元離散事件系統(tǒng),根據(jù)李雅普洛夫穩(wěn)定性分析方法,找出了可以令該系統(tǒng)滿足李雅普洛夫漸近穩(wěn)定的狀態(tài)函數(shù),證明了SDN控制下的數(shù)據(jù)中心網(wǎng)絡(luò)在負(fù)載平衡策略下是滿足李雅普洛夫漸近穩(wěn)定的
[Abstract]:With the rapid development of cloud computing network, data center network, as the basic framework of cloud computing, has attracted wide attention from academia and industry, and has been developing rapidly. Network applications such as data collection, video content hosting and interaction, social networks and so on need to rely on the support of data center network. With the rapid development of data center network, the test of its performance index is becoming more and more strict. Software defined Network (SDN) technology has been increasingly applied to the management and construction of data center networks in order to achieve a better global deployment of data center networks. In SDN control, the number of servers that can be controlled by the data center network controlled by a single controller is relatively limited due to the limitation of the performance of the controller itself. It is inevitable that the rapid development of cloud computing network will not meet the requirements of data center network scalability. Multi-area multi-controller data center network enhances the overall control of data center network by increasing the number of controllers to meet the requirements of scalability and stability of large-scale data center network. However, the controller is only responsible for the local network under its control, so it is necessary to ensure the consistency of the information between the controllers to avoid the collapse of the multi-controller system, so it is necessary to synchronize the information between the controllers. The existing synchronization algorithm between controllers is a kind of periodic synchronization algorithm based on time. However, the periodic synchronization algorithm of timing update or timing update and real-time update may lead to the inconsistency of network information. As a result, the whole network has high packet loss rate and poor load balance. In order to ensure the consistency of the network, an active synchronization algorithm based on event triggering is proposed in this paper. Information synchronization between controllers is triggered based on whether the load on the selected server exceeds the average of the total load of all servers in its area. Because event-based synchronization is more flexible than time-based synchronization, the active synchronization algorithm is not only more sensitive to load changes, but also eliminates the correlation between synchronization and time. Avoid the appearance of forwarding ring in the whole network. The simulation results show that the active synchronization algorithm has better performance in packet loss rate and load balancing than the existing periodic synchronization algorithm. Under the similar load balancing performance, the active synchronization algorithm also has less synchronization overhead than the periodic synchronization algorithm. After the active synchronization algorithm of data center network controlled by multiple controllers is proposed, the link load in the network is regarded as the event state, and the variation of the load is regarded as discrete event. The data center network is established as a five-element discrete event system. According to the method of Lyapunov stability analysis, the state function which can satisfy the asymptotic stability of the system is found out. It is proved that the data center network under SDN control is asymptotically stable under load balancing strategy.
【學(xué)位授予單位】：西南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP308;TP393.0

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 付永紅;畢軍;吳建平;陳澤;王可;羅敏;;基于軟件定義網(wǎng)絡(luò)的一種多控制器休眠模型(英文)[J];中國(guó)通信;2014年03期

2 吳鐵軍;呂勇哉;;離散事件動(dòng)態(tài)系統(tǒng)穩(wěn)定性分析方法[J];自動(dòng)化學(xué)報(bào);1990年05期

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本文編號(hào)：1781926