CNS Core: Medium: Detroit – A New End-to-end System for Practical and Accessible IoT

物联网（IoT）是一套快速兴起的技术，其中普通物体配备了数字智能-能够自动感知，分析，驱动和控制其环境。通过连接我们的物理世界和数字世界，物联网设备可以执行先进的数据分析，以增强人类的决策，在没有人为干预的情况下检测、诊断和修复问题，并在整个经济中实现自动化操作（例如医疗保健、军事、农业、技术、金融、交通、能源部门等）。该项目侧重于如何安全地编程，部署和管理物联网系统和应用程序。具体来说，该项目将开发一个名为Detroit的便携式多层（传感器、边缘、云）平台，该平台支持物联网设备的“一次写入，随处运行”编程。该平台将在传感层或其附近实现低延迟数据分析和响应，同时在边缘和云层利用新兴的公共云计算技术。高级语言支持和平台服务（用于监控、安全策略实施和部署管理）将用于隐藏物联网的复杂性，为开发人员提供工具，使他们可以指定和自动检查安全性和部署属性，并自动放置、端到端身份验证和修复/更新物联网应用程序。该项目将使安全物联网创新得到广泛实践，而不仅仅是分布式和嵌入式系统专家的领域。这种民主化是实现物联网承诺的积极社会转型和共享经济影响的关键。此外，该项目将使用来自其他几个科学领域（如智能家居、数字农业和生态学）的真实物联网测试平台和应用程序来评估和展示进展，并确保它们对跨学科的开发人员和研究人员有用。最后，该项目将开发、收集和维护与此工作相关的源代码、数据集和结果，这些将通过GitHub存储库https://github.com/MAYHEM-Lab/Detroit公开共享。这些工件将包括底特律平台、基准、物联网应用和传感器数据，可用于驱动、比较和评估物联网系统的研究进展。项目将在项目期间和之后的两年内维护这些工件。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The Internet of Things (IoT) is a rapidly emerging set of technologies in which ordinary objects are equipped with digital intelligence -- the ability to sense, analyze, actuate, and control their environment automatically. By linking our physical and digital worlds, IoT devices make it possible to perform advanced data analysis in place -- to enhance decision-making by humans, to detect, diagnose, and remediate problems without human intervention, and to automate operations throughout our economy (e.g., in health care, military, agriculture, technology, financial, transportation, energy sectors, among others). This project focuses on how to securely program, deploy, and manage IoT systems and applications.Specifically, the project will develop a portable, multi-tier (sensors, edge, cloud) platform, called Detroit, that supports "write-once-run-anywhere" programming for IoT devices. The platform will enable low-latency data analytics and response in or near the sensing tier, while leveraging emerging public cloud computing technologies at the edge and cloud tiers. High-level language support and platform services (for monitoring, security policy enforcement, and deployment management) will be used to hide the complexities of IoT, give developers tools with which they can specify and automatically check security and deployment properties, and automate placement, end-to-end authentication, and repair/update for IoT applications.The project will enable secure IoT innovation to become broadly practiced rather than solely the domain of distributed and embedded systems experts. Such democratization is key to realizing the positive societal transformation and shared economic impact that the IoT promises is possible. In addition, the project will use real-world IoT testbeds and applications, from several other scientific domains (e.g., smart homes, digital agriculture, and ecology), to evaluate and demonstrate the advances and to ensure that they are useful to developers and researchers across disciplines.Finally, the project will develop, collect, and maintain source code, datasets, and results related to this effort that will be shared publicly via the GitHub repository https://github.com/MAYHEM-Lab/Detroit. These artifacts will include the Detroit platform, benchmarks, IoT applications, and sensor data that can be used to drive, compare, and evaluate IoT systems research advances. The project will maintain these artifacts for the duration of the project and two years following.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.