本文關鍵詞：智慧協同網絡資源適配機制與方法研究　出處：《北京交通大學》2016年博士論文　論文類型：學位論文

  更多相關文章： 智慧協同網絡 資源適配 網絡狀態(tài)感知 路徑計算 網絡節(jié)能

【摘要】：智慧協同網絡(Smart Identifier NETwork/SINET)作為一種面向未來需求的新型網絡架構,在有效解決可擴展性、移動性、安全性等問題的基礎上,將“智慧性”內嵌于網絡架構中,使網絡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,從根本上實現高效節(jié)能的“綠色網絡”目標。本文作為“智慧協同網絡理論體系”的組成部分,圍繞網絡的“原生智慧性”,針對網絡狀態(tài)感知、資源動態(tài)調度、選擇性休眠等機制與方法開展研究,主要工作和創(chuàng)新點如下：1.設計了一種基于狀態(tài)感知的資源適配機制,作為智慧協同網絡“原生智慧性”的實現基礎。首先,在關鍵功能實體資源管理器和轉發(fā)組件中嵌入感知功能,使轉發(fā)組件能夠實時感知并記錄網絡狀態(tài)。其次,設計了一種智慧協同控制協議,供資源管理器控制轉發(fā)組件執(zhí)行基本的數據處理,以及獲取網絡狀態(tài)信息。然后,提出了一種基于網絡狀態(tài)的路徑計算方法。最后,在原型系統(tǒng)中驗證關鍵功能實體和智慧協同控制協議的可行性,在仿真平臺上對所提機制進行效果驗證。結果表明,在智慧協同網絡架構下運行該機制是可行的,并且該機制能夠有效提高網絡資源利用率,提升用戶體驗。2.設計了兩種感知信息交互機制,即詢問和匯報機制,作為資源適配機制的進一步細化完善。在詢問機制中,資源管理器主動詢問轉發(fā)組件,得到靜態(tài)的全局網絡狀態(tài)信息,該機制實時性強,但會帶來較大的額外控制開銷。在匯報機制中,轉發(fā)組件主動推送動態(tài)的局部網絡狀態(tài)信息,該機制幾乎不產生額外控制開銷,但實時性受網絡流量的影響。然后,在原型系統(tǒng)中分別實現兩種機制,設計不同流量場景,驗證比較兩種機制的實時性。最后,利用真實流量數據,在開銷及實時性兩方面權衡折中,對兩種機制的實際應用效果進行分析評估。結果表明,匯報機制的實時性不及詢問機制,但匯報機制具備不產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,因此,利用匯報機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,用以支持智慧協同網絡的“資源動態(tài)調度”功能。首先,將實時測算出的流量矩陣作為約束,對負載均衡路由優(yōu)化問題進行建模,再利用拉格朗日對偶方法,將原問題轉化為對偶問題。然后,為求對偶問題最優(yōu)解,設計了一種基于流量矩陣的負載均衡路徑分配算法。最后,通過仿真實驗和原型系統(tǒng)測試,驗證所提算法的負載均衡效果及額外控制開銷情況。結果表明,該方法能夠有效避免擁塞,實現網絡負載均衡,且其額外控制開銷也在可接受范圍內。4.提出了一種網絡能耗和協作緩存優(yōu)化方法,用以支持智慧協同網絡的“選擇性休眠”功能。智慧協同網絡中的轉發(fā)組件不僅執(zhí)行簡單的轉發(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)省網絡能耗,建立了多目標混合整數線性規(guī)劃問題模型。然后,將緩存性能優(yōu)化目標轉化為約束條件,使多目標問題轉化為單目標問題,并設計休眠組件選擇算法進行求解。最后,模擬真實網絡流量,分別在三個真實網絡拓撲中,對所提算法和現有算法的節(jié)能效果進行比較評估。結果表明：本文所提算法的節(jié)能效果要優(yōu)于其他算法；并且網絡的冗余鏈路越多,算法的節(jié)能效果越好；在網絡閑時執(zhí)行該方法,剩余網絡仍然能保持較好的負載均衡水平。
[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.

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

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