本文選題：認知網(wǎng)絡(luò)　切入點：服務(wù)評估模型　出處：《北京郵電大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著網(wǎng)絡(luò)技術(shù)與網(wǎng)絡(luò)應(yīng)用規(guī)模的快速發(fā)展,當前網(wǎng)絡(luò)上運行的業(yè)務(wù)種類與業(yè)務(wù)數(shù)量也相對眾多,網(wǎng)絡(luò)環(huán)境也變得更加復(fù)雜,網(wǎng)絡(luò)態(tài)勢更加難以控制,這種情況對傳統(tǒng)網(wǎng)絡(luò)提出了新的要求。在這種情況下,為了保障端對端的服務(wù)質(zhì)量(QoS),認知網(wǎng)絡(luò)技術(shù)應(yīng)運而生,前瞻性地提出了根據(jù)對網(wǎng)絡(luò)態(tài)勢的實時感知而動態(tài)地對網(wǎng)絡(luò)配置進行調(diào)整的方法,為保障端對端QOS提供了新的思路,也成為當前網(wǎng)絡(luò)技術(shù)范疇的研究熱點之一。 本文基于認知網(wǎng)絡(luò)的基本思想,提出了一種基于服務(wù)認知和服務(wù)評估模型的分組丟棄算法,應(yīng)用場景為網(wǎng)絡(luò)發(fā)生擁塞的特殊狀態(tài)。算法模型包括兩方面內(nèi)容：一方面該算法模型提供了底層數(shù)據(jù)包控制原理的高層服務(wù)依據(jù),另一方面算法模型結(jié)合服務(wù)優(yōu)先級與服務(wù)運行特征兩方面內(nèi)容建立了服務(wù)評估模型,在成功地兼顧了網(wǎng)絡(luò)服務(wù)的公平性與效率性的同時,在一定程度上保證了高級別服務(wù)的正常運行。主要工作有如下幾個方面： (1)提出了基于服務(wù)認知和服務(wù)評估模型的分組丟棄算法的整體架構(gòu),借鑒了傳統(tǒng)的分組丟棄算法的核心思想,加入了服務(wù)認知功能與服務(wù)評估模型用于生成分組丟棄概率參數(shù),從服務(wù)層面體現(xiàn)了認知網(wǎng)絡(luò)的認知思想； (2)建立了有效的服務(wù)評估模型,綜合多種業(yè)務(wù)類型與服務(wù)運行狀態(tài)特征等因素,基于歷史服務(wù)流量統(tǒng)計與服務(wù)傳輸層傳輸特點分類處理的服務(wù)評估方法,體現(xiàn)了服務(wù)調(diào)節(jié)的反饋性,更適合實際網(wǎng)絡(luò)條件下的應(yīng)用場景,能夠充分優(yōu)化網(wǎng)絡(luò)傳輸性能,從數(shù)據(jù)層面保障了端對端的QoS。 從仿真和系統(tǒng)實現(xiàn)兩個角度對基于服務(wù)認知和服務(wù)評估模型的分組丟棄算法進行了驗證,仿真表明,算法能夠以較低的控制成本實現(xiàn)對網(wǎng)絡(luò)高級服務(wù)QoS的可靠性保障,反饋機制的引入也在一定程度上體現(xiàn)了公平性原則,從而有效避免了高級服務(wù)對網(wǎng)絡(luò)資源的過分消費,從用戶層面提高了網(wǎng)絡(luò)資源的利用效率。
[Abstract]:With the rapid development of network technology and network application scale, the types and number of services running on the network are relatively numerous, the network environment is becoming more complex, and the network situation is more difficult to control. This situation puts forward new requirements for traditional networks. In this case, in order to ensure the quality of service from end to end, cognitive network technology emerges as the times require. The method of dynamically adjusting the network configuration according to the real-time perception of network situation is put forward prospectively, which provides a new way to guarantee end-to-end QOS, and also becomes one of the research hotspots in the field of network technology. Based on the basic idea of cognitive network, a packet dropping algorithm based on service cognition and service evaluation model is proposed in this paper. The algorithm model includes two aspects: on the one hand, the algorithm model provides the high-level service basis of the underlying packet control principle. On the other hand, the algorithm model combines service priority and service operation characteristics to establish a service evaluation model, which successfully takes into account the fairness and efficiency of network services at the same time. To a certain extent, it ensures the normal operation of high-level services. The main tasks are as follows:. (1) the whole architecture of packet drop algorithm based on service cognition and service evaluation model is proposed. The core idea of traditional packet dropping algorithm is used for reference, and service cognitive function and service evaluation model are added to generate packet drop probability parameters. It embodies the cognitive thought of cognitive network from the service level. (2) an effective service evaluation model is established, which integrates various service types and service running state characteristics, and provides a service evaluation method based on historical service traffic statistics and service transport layer transport characteristics classification. It reflects the feedback of service regulation, is more suitable for the application scenario under the actual network condition, can optimize the network transmission performance fully, and guarantees the end-to-end QoS from the data level. The packet dropping algorithm based on service cognition and service evaluation model is verified from two aspects of simulation and system implementation. The simulation results show that the algorithm can guarantee the reliability of network advanced service QoS with lower control cost. The introduction of feedback mechanism also reflects the principle of fairness to a certain extent, which effectively avoids the excessive consumption of network resources by advanced services, and improves the efficiency of using network resources at the user level.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.09

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