使用可编程中间盒扩展实时远程信息处理应用:交通预测的案例研究

A. Chen, N. Jain, A. Perinola, T. Pietraszek, S. Rooney, P. Scotton
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引用次数: 8

摘要

浮动汽车数据(FCD)是一种新兴的远程信息处理应用,为道路使用者提供一系列联网服务,即由移动车辆收集和传输的交通和车内数据。FCD是一个大型传感器网络的例子,其复杂性随着会话参与者的数量而增加。我们的工作研究了如何在网络中部署特定于应用程序的功能来帮助扩展这样的系统。我们选择在通常称为中间盒的专用设备上配置这些功能。这些中间件使用可编程网络处理器来获得所需的处理和转发速度,同时使用标准中间件组件相互通信并与后端服务器通信。我们介绍了在扩展大型远程信息处理服务时使用这种可编程中间盒的经验,并解释了中间盒如何适应端到端应用程序。
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Scaling real-time telematics applications using programmable middleboxes: a case study in traffic prediction
Floating car data (FCD), i.e. traffic and in-car data collected and transmitted by moving cars, is an emerging telematics application providing a range of networked services to road users. FCD is an example of a large sensor network, whose complexity increases with the number of session participants. Our work examines how deploying application-specific functions in the network can help in scaling such systems. We have chosen to configure these functions on a dedicated device that is commonly called a middlebox. These middleboxes use programmable network processors in order to attain the required processing and forwarding speeds, while communicating with each other and a back-end server using standard middleware components. We present our experience in using such a programmable middlebox in the scaling of a large telematics service, explaining how the middlebox fits into the end-to-end application.
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