【摘要】：軟件定義網(wǎng)絡(luò)是近年來計(jì)算機(jī)通訊領(lǐng)域中備受學(xué)術(shù)界和產(chǎn)業(yè)界關(guān)注的技術(shù),在數(shù)據(jù)中心網(wǎng)絡(luò)、無線網(wǎng)絡(luò)等環(huán)境下均有大量的研究和產(chǎn)品涌現(xiàn)。它的核心創(chuàng)新在于通過數(shù)控分離產(chǎn)生的可編程性,這一特性直接帶來了網(wǎng)絡(luò)管理的變革,使得網(wǎng)絡(luò)能夠根據(jù)程序員編寫的策略自動(dòng)靈活改變。軟件定義網(wǎng)絡(luò)為研究人員和網(wǎng)絡(luò)管理人員實(shí)驗(yàn)新的網(wǎng)絡(luò)協(xié)議和進(jìn)行其他創(chuàng)新提供了良好的基礎(chǔ)。在軟件定義網(wǎng)絡(luò)中,從轉(zhuǎn)發(fā)設(shè)備分離出來的控制邏輯被集中到了控制器(也稱作網(wǎng)絡(luò)操作系統(tǒng))上,網(wǎng)絡(luò)管理工作的重要性使得控制器的研究工作在近年來十分活躍。隨著網(wǎng)絡(luò)規(guī)模的不斷擴(kuò)大,分布式控制器將會(huì)成為未來軟件定義網(wǎng)絡(luò)的必然選擇,也因此涌現(xiàn)出大量架構(gòu)各異的分布式控制器方案。其中,在實(shí)現(xiàn)控制器物理上的多節(jié)點(diǎn)分布后,需要對(duì)資源進(jìn)行優(yōu)化以實(shí)現(xiàn)多資源的平衡管理、減少不必要的控制器實(shí)例開銷,只有實(shí)現(xiàn)資源的綜合調(diào)度才能讓分布式控制器作為網(wǎng)絡(luò)操作系統(tǒng)有效管理網(wǎng)絡(luò)的行為和狀態(tài)。本文對(duì)現(xiàn)有的分布式控制器架構(gòu)進(jìn)行了系統(tǒng)地分析并建立了分布式系統(tǒng)中各種資源開銷的模型,以此為基礎(chǔ)提出了一套完整的分布式控制器優(yōu)化方案,充分利用軟件定義網(wǎng)絡(luò)的可編程性實(shí)現(xiàn)系統(tǒng)資源的合理利用。該方案由控制器網(wǎng)絡(luò)視圖管理和應(yīng)用管理兩部分構(gòu)成,完成了對(duì)分布式控制器的整體優(yōu)化。具體的優(yōu)化工作立足于彈性變化的分布式控制器,結(jié)合存儲(chǔ)開銷、計(jì)算開銷、信息同步開銷和系統(tǒng)響應(yīng)時(shí)間制定合理的優(yōu)化策略。經(jīng)過優(yōu)化后,分布式控制器能夠更加有效地根據(jù)網(wǎng)絡(luò)實(shí)時(shí)狀態(tài)進(jìn)行策略的制定與執(zhí)行。本文提出的SDN分布式控制器優(yōu)化方案通過大量實(shí)驗(yàn)證實(shí)了有效性,進(jìn)而通過大量對(duì)比試驗(yàn)探究了優(yōu)化策略的有效時(shí)間及對(duì)優(yōu)化策略進(jìn)行重新計(jì)算的觸發(fā)條件。最后,本文對(duì)未來的工作進(jìn)行了設(shè)想,提出了進(jìn)一步的研究方向。
[Abstract]:In recent years, software defined network (SDN) is one of the most important technologies in the field of computer communication. In the data center network, wireless network and so on, a large number of research and products have emerged. Its core innovation lies in the programmability produced by the separation of numerical control, which directly brings about the change of network management and makes the network change automatically and flexibly according to the strategy written by the programmer. Software definition of network provides a good basis for researchers and network managers to experiment with new network protocols and other innovations. In the software defined network, the control logic separated from the forwarding device is concentrated on the controller (also known as the network operating system). The importance of network management makes the research of controller very active in recent years. With the continuous expansion of network scale, distributed controller will become the inevitable choice of software to define the network in the future. Therefore, a large number of distributed controller schemes with different architectures have emerged. Among them, after realizing the physical multi-node distribution of the controller, it is necessary to optimize the resources to realize the balanced management of the multi-resources, and to reduce the unnecessary overhead of controller instance. Only by implementing the comprehensive scheduling of resources can the distributed controller manage the behavior and state of the network effectively as a network operating system. In this paper, the existing architecture of distributed controller is systematically analyzed, and the model of resource overhead in distributed system is established. Based on this, a complete optimization scheme of distributed controller is proposed. Make full use of the programmability of the software definition network to realize the reasonable utilization of the system resources. The scheme consists of two parts: controller network view management and application management, and the overall optimization of distributed controller is completed. The specific optimization work is based on a flexible distributed controller, combining storage overhead, computing overhead, information synchronization overhead and system response time to formulate a reasonable optimization strategy. After optimization, the distributed controller can make and execute the strategy more effectively according to the real-time state of the network. The SDN distributed controller optimization scheme proposed in this paper is proved to be effective by a large number of experiments, and then the effective time of the optimization strategy and the trigger conditions for recalculating the optimization strategy are explored through a large number of comparative experiments. Finally, the future work is envisaged and the further research direction is proposed.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP393.02

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