本文關(guān)鍵詞：智慧協(xié)同網(wǎng)絡(luò)資源適配機(jī)制與方法研究　出處：《北京交通大學(xué)》2016年博士論文　論文類型：學(xué)位論文

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【摘要】：智慧協(xié)同網(wǎng)絡(luò)(Smart Identifier NETwork/SINET)作為一種面向未來需求的新型網(wǎng)絡(luò)架構(gòu),在有效解決可擴(kuò)展性、移動性、安全性等問題的基礎(chǔ)上,將“智慧性”內(nèi)嵌于網(wǎng)絡(luò)架構(gòu)中,使網(wǎng)絡(luò)能夠原生地支持智慧型資源適配,從而提高資源利用率,降低能耗,從根本上實(shí)現(xiàn)高效節(jié)能的“綠色網(wǎng)絡(luò)”目標(biāo)。本文作為“智慧協(xié)同網(wǎng)絡(luò)理論體系”的組成部分,圍繞網(wǎng)絡(luò)的“原生智慧性”,針對網(wǎng)絡(luò)狀態(tài)感知、資源動態(tài)調(diào)度、選擇性休眠等機(jī)制與方法開展研究,主要工作和創(chuàng)新點(diǎn)如下：1.設(shè)計了一種基于狀態(tài)感知的資源適配機(jī)制,作為智慧協(xié)同網(wǎng)絡(luò)“原生智慧性”的實(shí)現(xiàn)基礎(chǔ)。首先,在關(guān)鍵功能實(shí)體資源管理器和轉(zhuǎn)發(fā)組件中嵌入感知功能,使轉(zhuǎn)發(fā)組件能夠?qū)崟r感知并記錄網(wǎng)絡(luò)狀態(tài)。其次,設(shè)計了一種智慧協(xié)同控制協(xié)議,供資源管理器控制轉(zhuǎn)發(fā)組件執(zhí)行基本的數(shù)據(jù)處理,以及獲取網(wǎng)絡(luò)狀態(tài)信息。然后,提出了一種基于網(wǎng)絡(luò)狀態(tài)的路徑計算方法。最后,在原型系統(tǒng)中驗(yàn)證關(guān)鍵功能實(shí)體和智慧協(xié)同控制協(xié)議的可行性,在仿真平臺上對所提機(jī)制進(jìn)行效果驗(yàn)證。結(jié)果表明,在智慧協(xié)同網(wǎng)絡(luò)架構(gòu)下運(yùn)行該機(jī)制是可行的,并且該機(jī)制能夠有效提高網(wǎng)絡(luò)資源利用率,提升用戶體驗(yàn)。2.設(shè)計了兩種感知信息交互機(jī)制,即詢問和匯報機(jī)制,作為資源適配機(jī)制的進(jìn)一步細(xì)化完善。在詢問機(jī)制中,資源管理器主動詢問轉(zhuǎn)發(fā)組件,得到靜態(tài)的全局網(wǎng)絡(luò)狀態(tài)信息,該機(jī)制實(shí)時性強(qiáng),但會帶來較大的額外控制開銷。在匯報機(jī)制中,轉(zhuǎn)發(fā)組件主動推送動態(tài)的局部網(wǎng)絡(luò)狀態(tài)信息,該機(jī)制幾乎不產(chǎn)生額外控制開銷,但實(shí)時性受網(wǎng)絡(luò)流量的影響。然后,在原型系統(tǒng)中分別實(shí)現(xiàn)兩種機(jī)制,設(shè)計不同流量場景,驗(yàn)證比較兩種機(jī)制的實(shí)時性。最后,利用真實(shí)流量數(shù)據(jù),在開銷及實(shí)時性兩方面權(quán)衡折中,對兩種機(jī)制的實(shí)際應(yīng)用效果進(jìn)行分析評估。結(jié)果表明,匯報機(jī)制的實(shí)時性不及詢問機(jī)制,但匯報機(jī)制具備不產(chǎn)生額外控制開銷的優(yōu)勢,雖然存在一定時延及誤差,但其程度在可接受范圍內(nèi),因此,利用匯報機(jī)制來傳遞感知信息是可行的。3.提出了一種基于流量感知的智慧路徑分配方法,用以支持智慧協(xié)同網(wǎng)絡(luò)的“資源動態(tài)調(diào)度”功能。首先,將實(shí)時測算出的流量矩陣作為約束,對負(fù)載均衡路由優(yōu)化問題進(jìn)行建模,再利用拉格朗日對偶方法,將原問題轉(zhuǎn)化為對偶問題。然后,為求對偶問題最優(yōu)解,設(shè)計了一種基于流量矩陣的負(fù)載均衡路徑分配算法。最后,通過仿真實(shí)驗(yàn)和原型系統(tǒng)測試,驗(yàn)證所提算法的負(fù)載均衡效果及額外控制開銷情況。結(jié)果表明,該方法能夠有效避免擁塞,實(shí)現(xiàn)網(wǎng)絡(luò)負(fù)載均衡,且其額外控制開銷也在可接受范圍內(nèi)。4.提出了一種網(wǎng)絡(luò)能耗和協(xié)作緩存優(yōu)化方法,用以支持智慧協(xié)同網(wǎng)絡(luò)的“選擇性休眠”功能。智慧協(xié)同網(wǎng)絡(luò)中的轉(zhuǎn)發(fā)組件不僅執(zhí)行簡單的轉(zhuǎn)發(fā),還具備緩存及休眠功能,因此,為了在兼顧緩存性能的同時,最大化地節(jié)省網(wǎng)絡(luò)能耗,建立了多目標(biāo)混合整數(shù)線性規(guī)劃問題模型。然后,將緩存性能優(yōu)化目標(biāo)轉(zhuǎn)化為約束條件,使多目標(biāo)問題轉(zhuǎn)化為單目標(biāo)問題,并設(shè)計休眠組件選擇算法進(jìn)行求解。最后,模擬真實(shí)網(wǎng)絡(luò)流量,分別在三個真實(shí)網(wǎng)絡(luò)拓?fù)渲?對所提算法和現(xiàn)有算法的節(jié)能效果進(jìn)行比較評估。結(jié)果表明：本文所提算法的節(jié)能效果要優(yōu)于其他算法；并且網(wǎng)絡(luò)的冗余鏈路越多,算法的節(jié)能效果越好；在網(wǎng)絡(luò)閑時執(zhí)行該方法,剩余網(wǎng)絡(luò)仍然能保持較好的負(fù)載均衡水平。
[Abstract]:The wisdom of the collaborative network (Smart Identifier NETwork/SINET) is a new type of network architecture for future needs, mobility effectively solve the scalability, security and other issues, based on the "wisdom" is embedded in the network architecture, so that the network can support native intelligent resource adaptation, so as to improve the utilization rate of resources fundamentally, reduce energy consumption, to achieve energy-efficient "green network". This part as the "wisdom of the collaborative network theory system", "native wisdom around the network", the network state aware, dynamic resource scheduling, to carry out research on selective dormancy mechanism and method, the main work and innovation are as follows: 1. design an adaptive mechanism based on state aware resource, as the basis for network collaborative wisdom "native wisdom". First of all, a key function in the resource management entity For embedded sensing function and forwarding module, the forwarding assembly can be real-time sensing and recording network. Secondly, design a collaborative intelligence control protocol for resource manager control forwarding basic data processing component execution, and access to network information. Then, this paper presents a calculation method based on the state of the network path. Finally, verify the feasibility of key functional entities and collaborative intelligence control protocol in the prototype system, verify the effect of the proposed mechanism in the simulation platform. The results show that the mechanism in collaborative intelligence network architecture is feasible, and the mechanism can effectively improve the utilization rate of the two kinds of cyber source, sensing information exchange mechanism designed to enhance the user experience.2., namely query and reporting mechanism, further refined as resource adaptation mechanism. In the inquiry mechanism, the resource manager ask Forwarding component, global network state information static, the mechanism of real-time, but will bring extra control overhead is greater. In reporting mechanism, local network state information active push forward component dynamic, the mechanism is almost no extra control overhead, but the real time affected by network traffic. Then, in the prototype system realized two kinds of mechanism, design different traffic scenarios, real-time verification and comparison of two kinds of mechanism. Finally, using real traffic data, in two aspects of cost and real-time balancing mechanism of two kinds of compromise, the actual application effect were analyzed and evaluated. The results show that the real-time reporting mechanism is not asked mechanism however, report mechanism has no extra control overhead advantage, although there are some delay and error, but the degree in the acceptable range, therefore, the reporting mechanism to transfer information is perceived The.3. presents a wisdom path allocation method based on traffic awareness, to support collaborative intelligence network "dynamic resource scheduling". Firstly, the real-time traffic matrix calculated as a constraint on the load balancing routing optimization model, using the Lagrange dual method, the original problem into a dual problem. Then, to seek the optimal solution of dual problem, design a load balancing algorithm based on flow path allocation matrix. Finally, through the simulation experiment and prototype system test, verify the proposed load balancing algorithm and additional control overhead. The results show that this method can effectively avoid congestion, network load balancing, and the additional control overhead are within the acceptable range of.4. presents a cooperative cache optimization method and the energy consumption of the network, to support collaborative intelligence network "choose dormancy" The function of wisdom. Cooperative forwarding components in the network not only perform simple forwarding, also has the cache and sleep function. Therefore, in order to take into account the cache performance at the same time, the maximum saving network energy consumption, establishes a model of multi-objective mixed integer linear programming problem. Then, the cache performance optimization objectives into constraints, so much the target problem is transformed into a single objective problem, design and component selection algorithm to solve the dormancy. Finally, simulation of the real network traffic, respectively in the three real network topology, a comparative assessment on the energy saving effect of the proposed algorithm and the existing algorithms. The results show that the proposed algorithm of the energy saving effect is better than the other algorithms; redundant link more and better network, energy saving algorithm; in the implementation of the method of idle network, the remaining network still can keep load balance well.

【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2016
【分類號】：TP393.02

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