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

物联网（IoT）使以前无法获得的数据交换成为可能，例如土壤水分的时空分布，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某些性能指标（如延迟、丢失、功耗等）进行独特的保证。从部署在该场景中的物联网基础设施。这些性能指标的轻微恶化可能会导致违反服务级别协议，并导致收入和功能损失。为了确保物联网基础设施在这些性能指标上提供保证，第一步是测量这些指标。在这个项目中，PI建议开发一个框架来衡量物联网性能指标，这是物联网网络管理员需要的，以被动地执行故障排除，并主动定位和更新潜在的未来瓶颈。这个项目的成功完成将极大地造福于我们的社会。首先，在该项目中进行的研究将产生工具，使网络管理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将公开本项目期间收集的痕迹，以供研究。第三，拟议的项目将桥接几个不同的社区，如移动的网络，测量，无线传感器网络和系统;并促进他们之间的互动和沟通。 第四，该项目的教育方面将把研究结果整合到北卡罗来纳州州立大学的本科生和研究生课程中，以及其他几个更广泛的影响和推广活动中。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，以及资源利用率指标，如功耗、存储利用率、该框架将被动地测量这些度量，即，而不会中断IoT网络的正常运行。在开发用于测量物联网性能指标的框架时，PI提出了一种三阶段方法：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。（诸如数据中心）;以及查询阶段，在此期间，网络管理器或自动化监视服务向服务器查询感兴趣的性能度量的值。

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.