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

物联网(IoT)实现了以前没有的数据交换，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、损耗、功耗等)提供独特的保证。来自该场景中部署的物联网基础设施。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提供对这些性能指标的保证，第一步是衡量这些指标。在该项目中，PI建议开发一个框架来衡量物联网性能指标，这是物联网网络管理员主动执行故障排除并主动定位和更新潜在未来瓶颈所必需的。这一项目的顺利完成将极大地造福于我们的社会。首先，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运行状况进行细粒度监控。其次，PI将公开在该项目期间收集的痕迹供研究使用。第三，拟议的项目将在几个不同的社区之间架起桥梁，如移动网络、测量、无线传感器网络和系统；并促进它们之间的互动和沟通。第四，该项目的教育方面将把研究成果整合到北卡罗来纳州立大学的本科生和研究生课程中，以及其他几项更广泛的影响和推广活动。该项目将衡量的性能指标包括延迟、损耗和吞吐量等服务质量指标，以及功耗、存储利用率、无线电准时率等资源利用指标。该框架将被动衡量这些指标，即在不中断物联网网络正常运行的情况下。在开发这样一个衡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，在此阶段，物联网设备记录有关感兴趣的性能指标的信息；传输阶段，在此阶段，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)；以及查询阶段，在此阶段，网络管理员或自动化监控服务向服务器查询感兴趣的性能指标的值。

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.