面向自感知網(wǎng)絡(luò)的測試關(guān)鍵技術(shù)研究
發(fā)布時間：2018-10-14 09:03
【摘要】：隨著網(wǎng)絡(luò)智能化程度的不斷增加,人們對感知技術(shù)的研究越來越多。網(wǎng)絡(luò)感知技術(shù)是實現(xiàn)高度智能化自組織網(wǎng)絡(luò)的基礎(chǔ),通過對網(wǎng)絡(luò)自身特性及所承載業(yè)務(wù)屬性的感知,網(wǎng)絡(luò)的運營、維護和管理將越來越不需要人工的干預(yù),從而可以實現(xiàn)高度自動化。感知網(wǎng)絡(luò)模型的建立、具體感知參數(shù)的標準化、以及感知參數(shù)的相關(guān)測試技術(shù)等都是當前關(guān)于感知網(wǎng)絡(luò)的研究熱點,也是實現(xiàn)自感知網(wǎng)絡(luò)的關(guān)鍵。 本論文建立了基于內(nèi)容感知的網(wǎng)絡(luò)模型,并從物理層、網(wǎng)絡(luò)層、應(yīng)用層等分層次角度研究了相關(guān)的感知網(wǎng)絡(luò)技術(shù)；從測試技術(shù)角度出發(fā),將不同層次的感知網(wǎng)絡(luò)參數(shù)和對應(yīng)的檢測及測試技術(shù)結(jié)合在一起展開研究,利用軟件定義網(wǎng)絡(luò)的優(yōu)勢,對相關(guān)的測試技術(shù)方法作了創(chuàng)新性改進。論文的主要研究工作包括以下幾個部分的內(nèi)容： (1)基于內(nèi)容感知的網(wǎng)絡(luò)模型研究。根據(jù)報文內(nèi)容,結(jié)合排隊論,分析并建立了基于內(nèi)容感知的網(wǎng)絡(luò)數(shù)學(xué)模型。運用深度報文檢測(DPI)與啟發(fā)式行為檢測相結(jié)合的檢測技術(shù),有效解決了傳統(tǒng)網(wǎng)絡(luò)對阻塞業(yè)務(wù)的優(yōu)先級甄別問題,確保了高優(yōu)先級業(yè)務(wù)優(yōu)先分配資源,同時也保證了資源的公平使用。 (2)物理層主要測試指標及測試方法研究。設(shè)計并開發(fā)出了針對數(shù)字誤碼的實用測試工具,該儀器可以模擬產(chǎn)生不同的誤碼率,既可以單獨作為測試儀器使用,也可以作為內(nèi)容感知的光網(wǎng)絡(luò)探針來使用,還可以作為光性能檢測模塊(OPM)技術(shù)的驗證平臺；提出了基于自相關(guān)函數(shù)的光纖色度色散測試方案,并進行了相關(guān)的實驗驗證。 (3)網(wǎng)絡(luò)層性能指標及測試技術(shù)研究。為了評價網(wǎng)絡(luò)節(jié)點的實際處理能力,基于實際應(yīng)用環(huán)境中有大量的混合流量,我們建立了網(wǎng)絡(luò)層新的性能指標測試模型,給出了網(wǎng)絡(luò)節(jié)點主要參數(shù)(如：吞吐量、混合包的轉(zhuǎn)發(fā)能力、新建連接速率等)的測試評估分析方法,并進行了相關(guān)的實驗數(shù)據(jù)驗證。 (4)應(yīng)用層測試技術(shù)研究。一方面對異常流量檢測技術(shù)進行了相關(guān)研究,提出了主要基于主成份分析的異常流量檢測算法；另一方面對實際測試工具作了研發(fā),基于軟件定義網(wǎng)絡(luò)(SDN),設(shè)計了網(wǎng)絡(luò)應(yīng)用層測試工具,該測試工具可針對各種通信網(wǎng)絡(luò)、OPM、應(yīng)用流量模擬等場景進行使用,可應(yīng)用于面向下一代智能光網(wǎng)絡(luò)的監(jiān)控及測試系統(tǒng)。 (5)基于軟件工程的測試技術(shù)創(chuàng)新。從軟件工程角度分析了感知網(wǎng)絡(luò)面臨的威脅及對應(yīng)的消減措施,從測試技術(shù)軟件工程方法入手,針對感知網(wǎng)絡(luò)面臨的安全問題,對安全測試各個階段的測試工作進行了研究,主要針對基于威脅建模的測試用例設(shè)計以及如何完成安全測試工作展開研究。 總之,本論文的工作主要集中在感知網(wǎng)絡(luò)模型的建立及各個分層的關(guān)鍵參數(shù)測試技術(shù)研究上,從具體指標的測試到軟件工程層面都分別進行了較為系統(tǒng)的研究。結(jié)合實際工程應(yīng)用,從目前亟需要解決的實際問題出發(fā),建立了相應(yīng)的數(shù)學(xué)模型,進行了具體的測試工具開發(fā)以及具體參數(shù)指標的測試研究,提出了一些創(chuàng)新的研究思路和解決方案,同時進行了相關(guān)的實驗驗證,為下一代智能化光網(wǎng)絡(luò)的建立提供了技術(shù)支持。
[Abstract]:With the increasing network intelligence, people have more and more research on perception technology. The network sensing technology is the basis of realizing highly intelligent self-organizing network. By sensing the characteristics of the network and the perceived service attributes, the operation, maintenance and management of the network will become more and more unnecessary. Therefore, it is possible to realize the high degree of automation. The establishment of the perceptual network model, the standardization of the specific sensing parameters, and the related test technology of the sensing parameters are the research hot spots about the perception network, and also the key to realize the self-sensing network. This paper establishes a network model based on content perception, and studies the related sensing network technology from physical layer, network layer, application layer, etc. Starting from the analysis of different levels of perceived network parameters and corresponding detection and test techniques, the advantages of the network are defined by using software, and the related test techniques are innovative. The main research work of the thesis includes the following parts: Content: (1) Content-aware web Based on the message content and the queuing theory, the content-aware network is analyzed and established. Using the detection technology of depth message detection (DPI) and heuristic behavior detection, this paper effectively solves the problem of priority discrimination of traditional network to blocking service, ensures the high priority service to allocate resources preferentially, and also ensures the resources. Fair use of physical layer. (2) Physical layer primary test finger The design and development of a practical test tool for digital error code, which can simulate the different bit error rate, can be used as the test instrument alone or as the content perception. The optical network probe can also be used as the verification platform of the optical performance detection module (OPM) technology, Relevant experimental verification is provided. (3) Network layer In order to evaluate the actual processing capacity of network nodes, we set up a new performance index test model of network layer in order to evaluate the actual processing capacity of network nodes, and give the main parameters of network nodes (such as: Test and evaluation analysis method of emetic quantity, forwarding capacity of mixed packet, newly built connection rate, etc., and go hand in hand Relevant experimental data validation was performed. (4) Application layer test technology research. On the one hand, the abnormal flow detection technology is researched, and the abnormal flow detection algorithm based on the main component analysis is put forward. On the other hand, the actual test tool is researched and developed. Based on the software definition network (SDN).), a network application layer testing tool is designed, which can be used for various communication networks, OPM, application flow simulation and other scenarios, and can be applied to the next Intelligent optical network monitoring and testing system. (5) Test technology innovation based on software engineering. From the software engineering point of view, the threat and corresponding mitigation measures are analyzed. From the test technology software engineering method, the security problems faced by the perception network are analyzed. The test work of all phases of the whole test is studied, and the test cases based on threat modeling are mainly designed. In conclusion, the work of this paper mainly focuses on the establishment of perception network model and the key parameter testing technology of each layer. On the basis of practical engineering application, the corresponding mathematical model is set up based on the practical problems which are urgently needed to be solved, and the specific test tool development and the test of specific parameters are carried out. In this paper, some innovative research ideas and solutions have been put forward, and relevant experimental verification has been carried out.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TN915.06
本文編號：2270001
[Abstract]:With the increasing network intelligence, people have more and more research on perception technology. The network sensing technology is the basis of realizing highly intelligent self-organizing network. By sensing the characteristics of the network and the perceived service attributes, the operation, maintenance and management of the network will become more and more unnecessary. Therefore, it is possible to realize the high degree of automation. The establishment of the perceptual network model, the standardization of the specific sensing parameters, and the related test technology of the sensing parameters are the research hot spots about the perception network, and also the key to realize the self-sensing network. This paper establishes a network model based on content perception, and studies the related sensing network technology from physical layer, network layer, application layer, etc. Starting from the analysis of different levels of perceived network parameters and corresponding detection and test techniques, the advantages of the network are defined by using software, and the related test techniques are innovative. The main research work of the thesis includes the following parts: Content: (1) Content-aware web Based on the message content and the queuing theory, the content-aware network is analyzed and established. Using the detection technology of depth message detection (DPI) and heuristic behavior detection, this paper effectively solves the problem of priority discrimination of traditional network to blocking service, ensures the high priority service to allocate resources preferentially, and also ensures the resources. Fair use of physical layer. (2) Physical layer primary test finger The design and development of a practical test tool for digital error code, which can simulate the different bit error rate, can be used as the test instrument alone or as the content perception. The optical network probe can also be used as the verification platform of the optical performance detection module (OPM) technology, Relevant experimental verification is provided. (3) Network layer In order to evaluate the actual processing capacity of network nodes, we set up a new performance index test model of network layer in order to evaluate the actual processing capacity of network nodes, and give the main parameters of network nodes (such as: Test and evaluation analysis method of emetic quantity, forwarding capacity of mixed packet, newly built connection rate, etc., and go hand in hand Relevant experimental data validation was performed. (4) Application layer test technology research. On the one hand, the abnormal flow detection technology is researched, and the abnormal flow detection algorithm based on the main component analysis is put forward. On the other hand, the actual test tool is researched and developed. Based on the software definition network (SDN).), a network application layer testing tool is designed, which can be used for various communication networks, OPM, application flow simulation and other scenarios, and can be applied to the next Intelligent optical network monitoring and testing system. (5) Test technology innovation based on software engineering. From the software engineering point of view, the threat and corresponding mitigation measures are analyzed. From the test technology software engineering method, the security problems faced by the perception network are analyzed. The test work of all phases of the whole test is studied, and the test cases based on threat modeling are mainly designed. In conclusion, the work of this paper mainly focuses on the establishment of perception network model and the key parameter testing technology of each layer. On the basis of practical engineering application, the corresponding mathematical model is set up based on the practical problems which are urgently needed to be solved, and the specific test tool development and the test of specific parameters are carried out. In this paper, some innovative research ideas and solutions have been put forward, and relevant experimental verification has been carried out.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TN915.06
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