NeTS: Small: Fine-grained Measurement of Performance Metrics in the Internet of Things

NeTS：小型：物联网性能指标的细粒度测量

• 批准号: 1616317
• 负责人: Muhammad Shahzad
• 金额: $ 45万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1616317&HistoricalAwards=false
• 关键词: NeTS; Small; Fine; grained; Measurement

The Internet of Things (IoT) enables an exchange of data that was not previously available, such as temporal and spatial distribution of soil moisture, power consumption of electrical appliances in smart buildings, and integrity of concrete structures. Each IoT application scenario requires unique guarantees on certain performance metrics (such as latency, loss, power consumption etc.) from the IoT infrastructure deployed in that scenario. A small deterioration in these performance metrics can cause violations of service level agreements and result in revenue and functional losses. In order to ensure that the IoT infrastructure delivers the guarantees on these performance metrics, the first step is to measure these metrics. In this project, the PI proposes to develop a framework to measure IoT performance metrics, which is required by the IoT network managers to reactively perform troubleshooting and to proactively locate and update potential future bottlenecks. The successful completion of this project will greatly benefit our society. First, the research conducted in this project will result in tools that will enable network managers to perform fine-grained monitoring of the health of their IoT networks. Second, the PI will make the traces collected during this project publicly available for research. Third, the proposed project will bridge several different communities such as mobile networking, measurements, wireless sensor networks, and systems; and foster interaction and communication among them. Fourth, the educational side of the project will integrate the research findings into the undergraduate and graduate curricula at North Carolina State University in addition to several other broader impacts and outreach activities.The performance metrics that this project will measure include both quality of service metrics such as latency, loss, and throughput and resource utilization metrics such as power consumption, storage utilization, radio on-time etc. The framework will measure these metrics passively, i.e., without interrupting the regular operations of the IoT network. In developing such a framework for measuring IoT performance metrics, the PI proposes a three phased approach: a recording phase, during which IoT devices record information about the performance metrics of interest; a transportation phase, during which IoT devices transport the recorded information to a server that has ample storage (such as a data center); and a querying phase, during which a network manager or an automated monitoring service queries the server for the values of the performance metrics of interest.

物联网（IoT）使以前无法获得的数据交换成为可能，例如土壤湿度的时空分布、智能建筑中电器的功耗以及混凝土结构的完整性。每个物联网应用场景都需要对部署在该场景中的物联网基础设施的某些性能指标（如延迟、丢失、功耗等）进行独特的保证。这些性能指标稍有恶化就会导致违反服务水平协议，并导致收入和功能损失。为了确保物联网基础设施提供这些性能指标的保证，第一步是测量这些指标。在该项目中，PI建议开发一个框架来衡量物联网性能指标，物联网网络管理人员需要该框架来主动执行故障排除并主动定位和更新潜在的未来瓶颈。这项工程的成功完成将极大地造福于我们的社会。首先，在本项目中进行的研究将产生工具，使网络管理人员能够对其物联网网络的健康状况进行细粒度监控。第二，PI将把在这个项目中收集的痕迹公开供研究使用。第三，拟议的项目将连接几个不同的社区，如移动网络、测量、无线传感器网络和系统；促进他们之间的互动和交流。第四，该项目的教育方面将把研究成果纳入北卡罗莱纳州立大学的本科和研究生课程，以及其他一些更广泛的影响和推广活动。该项目将测量的性能指标包括服务质量指标（如延迟、丢失和吞吐量）和资源利用指标（如功耗、存储利用率、无线电接通时间等）。该框架将被动地测量这些指标，即不中断物联网网络的常规操作。在开发测量物联网性能指标的框架时，PI提出了三个阶段的方法：记录阶段，在此期间物联网设备记录有关感兴趣的性能指标的信息；传输阶段，在此期间，物联网设备将记录的信息传输到具有充足存储空间的服务器（如数据中心）；查询阶段，在此期间，网络管理器或自动监视服务向服务器查询感兴趣的性能指标的值。