CC* Integration: End-to-End Software-Defined Cyberinfrastruture for Smart Agriculture and Transportation

成像和其他基于传感器的对植物行为的理解正在成为植物基因新发现的关键，从而导致更多的生产力和环境友好型农业。同样，分布式传感被视为安全、高效和可持续的自主运输系统的关键组成部分。现有的农业和运输系统的研究和教育受到田间部署的试验台设备和计算基础设施之间缺乏连接的限制。为了实现这种连接，本项目提出部署CyNet无线网络，将实验科学试验台连接到高性能的云计算基础设施。CyNet项目将：1)使用符合标准的开源开放空中接口软件框架和商用通用软件无线电外围设备(USRP)硬件部署可预测的、可靠的、实时的和高吞吐量(PRRT)无线网络解决方案；2)将这些无线网络与软件定义的网络集成，以无缝集成室外摄像机、传感器和自动驾驶车辆，并将这些组件连接到高性能云计算系统；3)实现基础设施虚拟化系统，将CyNet划分为可编程的、孤立的实验；创建基础设施管理系统，执行准入和访问控制，并建立特定的资源分配政策。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Imaging and other sensor-based understanding of plant behavior is becoming keyto new discoveries in plant genotypes leading to more productive and environment-friendly farming.Similarly, distributed sensing is seen as a key component of a safe, efficient, and sustainable autonomous transportation systems.Existing research and education in agriculture and transportation systems are constrained by the lack of connectivity between field-deployed testbed equipment and computing infrastructure. To realize that connectivity, this project proposes to deploy CyNet wireless networks toconnect experimental science testbeds to high-performance cloud computing infrastructures.The CyNet project will:1) deploy Predictable, Reliable, Real-time, and high-Throughput (PRRT) wireless networking solutions using the standards-compliant, open-source Open Air Interface software framework and commodity Universal Software Radio Peripheral (USRP) hardware;2) integrate these wireless networks with software defined networks to seamlessly integrate outdoor cameras, sensors, and autonomous vehicles, and connect these components to high performance cloud computing systems;3) implement an infrastructure virtualization system that partitions CyNet into programmable, isolated experiments; and4) create an infrastructure management system that performs admission and access control and establishes specified resource allocation policies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.