面向鸟声传感网数据中心的边缘虚拟网桥技术研究

发布时间：2018-01-05 03:22

  本文关键词：面向鸟声传感网数据中心的边缘虚拟网桥技术研究　出处：《南京理工大学》2016年硕士论文　论文类型：学位论文

  更多相关文章： 候鸟监测 无线传感器网络 虚拟化 边缘虚拟网桥技术 虚拟机网络接入

【摘要】：本文依托于江苏省自然科学基金(BK20130776),开展了面向鸟声传感网的边缘虚拟网桥技术的研究。本研究采用麦克风阵列作为传感节点,基于无线传感器网络设计了鸟声传感网的系统架构。麦克风阵列由四个传声器组成,可利用鸟声信号实现对候鸟的定位,其制成的智能传感节点将在恶劣环境、天气下代替人工监测湿地内候鸟的群落密度与活动规律。鸟声传感网采用基于分簇的分层结构,具有成本低廉、部署简便与精确度高等优越性能,可用于开展湿地生态多样性保护及疫源疫情监控等工作。鸟声数据中心用于储存与处理各监测区域传感节点采集的数据,其架构的设计对于系统资源使用率、运算性能及可扩展性极其重要。该数据中心将采用先进的虚拟化技术,在物理服务器内虚拟出多台独立的虚拟机复用物理资源,并完成不同数据处理工作。然而当前的虚拟机流量交换网络设计存在诸多弊端,本文研究了802.1Qbg标准中的边缘虚拟网桥(EVB)技术,并基于Comware V7平台与二层交换机实现了支持多种转发模式的多通道技术,简化了服务器内部结构,提高了资源使用率,实现了对虚拟机流量的监管与控制策略实施,并使交换机可灵活感知虚拟机的变迁。EVB技术通过交换机将传感节点上传的鸟声数据自动重定向到不同的虚拟机,使虚拟机能够根据地域及鸟类对鸟声数据作不同处理,是实现鸟声传感网的关键技术之一。本文对交换机端的EVB技术总体框架与重点模块进行了详细的设计,实现了通过配置与协议交互两种方式对虚拟机流量完成转发,并进行了功能测试与结果分析。在本研究的基础上可对鸟声数据中心架构进行进一步设计,并通过后续工作完成鸟声传感网整体系统的实现。同时,本文研究实现的EVB技术同样适用于其他需要高资源使用率与高性能网络架构的云计算数据中心。
[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.

【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN929.5;TP212.9
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本文编号：1381357