發(fā)布時(shí)間：2018-01-05 03:22

  本文關(guān)鍵詞：面向鳥(niǎo)聲傳感網(wǎng)數(shù)據(jù)中心的邊緣虛擬網(wǎng)橋技術(shù)研究　出處：《南京理工大學(xué)》2016年碩士論文　論文類(lèi)型：學(xué)位論文

  更多相關(guān)文章： 候鳥(niǎo)監(jiān)測(cè) 無(wú)線傳感器網(wǎng)絡(luò) 虛擬化 邊緣虛擬網(wǎng)橋技術(shù) 虛擬機(jī)網(wǎng)絡(luò)接入

【摘要】：本文依托于江蘇省自然科學(xué)基金(BK20130776),開(kāi)展了面向鳥(niǎo)聲傳感網(wǎng)的邊緣虛擬網(wǎng)橋技術(shù)的研究。本研究采用麥克風(fēng)陣列作為傳感節(jié)點(diǎn),基于無(wú)線傳感器網(wǎng)絡(luò)設(shè)計(jì)了鳥(niǎo)聲傳感網(wǎng)的系統(tǒng)架構(gòu)。麥克風(fēng)陣列由四個(gè)傳聲器組成,可利用鳥(niǎo)聲信號(hào)實(shí)現(xiàn)對(duì)候鳥(niǎo)的定位,其制成的智能傳感節(jié)點(diǎn)將在惡劣環(huán)境、天氣下代替人工監(jiān)測(cè)濕地內(nèi)候鳥(niǎo)的群落密度與活動(dòng)規(guī)律。鳥(niǎo)聲傳感網(wǎng)采用基于分簇的分層結(jié)構(gòu),具有成本低廉、部署簡(jiǎn)便與精確度高等優(yōu)越性能,可用于開(kāi)展?jié)竦厣鷳B(tài)多樣性保護(hù)及疫源疫情監(jiān)控等工作。鳥(niǎo)聲數(shù)據(jù)中心用于儲(chǔ)存與處理各監(jiān)測(cè)區(qū)域傳感節(jié)點(diǎn)采集的數(shù)據(jù),其架構(gòu)的設(shè)計(jì)對(duì)于系統(tǒng)資源使用率、運(yùn)算性能及可擴(kuò)展性極其重要。該數(shù)據(jù)中心將采用先進(jìn)的虛擬化技術(shù),在物理服務(wù)器內(nèi)虛擬出多臺(tái)獨(dú)立的虛擬機(jī)復(fù)用物理資源,并完成不同數(shù)據(jù)處理工作。然而當(dāng)前的虛擬機(jī)流量交換網(wǎng)絡(luò)設(shè)計(jì)存在諸多弊端,本文研究了802.1Qbg標(biāo)準(zhǔn)中的邊緣虛擬網(wǎng)橋(EVB)技術(shù),并基于Comware V7平臺(tái)與二層交換機(jī)實(shí)現(xiàn)了支持多種轉(zhuǎn)發(fā)模式的多通道技術(shù),簡(jiǎn)化了服務(wù)器內(nèi)部結(jié)構(gòu),提高了資源使用率,實(shí)現(xiàn)了對(duì)虛擬機(jī)流量的監(jiān)管與控制策略實(shí)施,并使交換機(jī)可靈活感知虛擬機(jī)的變遷。EVB技術(shù)通過(guò)交換機(jī)將傳感節(jié)點(diǎn)上傳的鳥(niǎo)聲數(shù)據(jù)自動(dòng)重定向到不同的虛擬機(jī),使虛擬機(jī)能夠根據(jù)地域及鳥(niǎo)類(lèi)對(duì)鳥(niǎo)聲數(shù)據(jù)作不同處理,是實(shí)現(xiàn)鳥(niǎo)聲傳感網(wǎng)的關(guān)鍵技術(shù)之一。本文對(duì)交換機(jī)端的EVB技術(shù)總體框架與重點(diǎn)模塊進(jìn)行了詳細(xì)的設(shè)計(jì),實(shí)現(xiàn)了通過(guò)配置與協(xié)議交互兩種方式對(duì)虛擬機(jī)流量完成轉(zhuǎn)發(fā),并進(jìn)行了功能測(cè)試與結(jié)果分析。在本研究的基礎(chǔ)上可對(duì)鳥(niǎo)聲數(shù)據(jù)中心架構(gòu)進(jìn)行進(jìn)一步設(shè)計(jì),并通過(guò)后續(xù)工作完成鳥(niǎo)聲傳感網(wǎng)整體系統(tǒng)的實(shí)現(xiàn)。同時(shí),本文研究實(shí)現(xiàn)的EVB技術(shù)同樣適用于其他需要高資源使用率與高性能網(wǎng)絡(luò)架構(gòu)的云計(jì)算數(shù)據(jù)中心。
[Abstract]:This paper is based on the natural science foundation of Jiangsu province (BK20130776), carried out the research of edge virtual bridge technology for birdsong sensor network. This paper using microphone arrays as sensor nodes, wireless sensor network is designed based on the system architecture into the sensor network. The microphone array consists of four microphones, can achieve the positioning of the migratory birds the signal made of smart sensor node in harsh environment, community density instead of artificial wetland under the weather monitoring and regulation of migratory activities. Bird sensor network uses a hierarchical structure based on clustering, has the advantages of low cost, easy deployment and high precision, excellent performance, can be used to carry out wetland biodiversity conservation and epidemic disease surveillance birds work. Data Center for storing data and processing the monitoring area, sensor nodes sample, the architecture design for system resources Use rate, scalability and extremely important operational performance. The data center will use advanced virtualization technology, virtual multiple independent virtual machine multiplexing physical resources on a physical server, and different data processing. However, the current flow of virtual machine exchange there are many drawbacks in network design, virtual edge is studied in this paper. The bridge in the 802.1Qbg standard (EVB) technology, and based on multi channel technology Comware V7 platform and the two layer switch to realize the support for multiple forwarding mode, simplifying the internal structure of the server, improve the utilization of resources, implementing supervision and control strategy of virtual machine flow, and the switch can change.EVB flexible perception the virtual machine through the switch will upload the data of birds sensor nodes automatically redirected to different virtual machine, the virtual machine can according to the local and the birds on the bird sound data For different treatment, is one of key techniques in sensor networks. The birds switch technology of EVB framework and the key modules of the detailed design, realize the interaction in two ways through the configuration and forwarding protocol to complete the virtual machine flow, and make the function test and result analysis. Based on the research on the further design of the bird data center architecture, and realize the whole system through the sensor network into the follow-up work. At the same time, this paper studies the EVB technology realization is also applicable to other high resource utilization and high performance network architecture of cloud computing data center.

【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類(lèi)號(hào)】：TN929.5;TP212.9
，

本文編號(hào)：1381357