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Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT)

机译：物联网（IoT）的大规模索引，发现和排名

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Network-enabled sensing and actuation devices are key enablers to connect real-world objects to the cyber world. The Internet of Things (IoT) consists of the network-enabled devices and communication technologies that allow connectivity and integration of physical objects (Things) into the digital world (Internet). Enormous amounts of dynamic IoT data are collected from Internet-connected devices. IoT data are usually multi-variant streams that are heterogeneous, sporadic, multi-modal, and spatio-temporal. IoT data can be disseminated with different granularities and have diverse structures, types, and qualities. Dealing with the data deluge from heterogeneous IoT resources and services imposes new challenges on indexing, discovery, and ranking mechanisms that will allow building applications that require on-line access and retrieval of ad-hoc IoT data. However, the existing IoT data indexing and discovery approaches are complex or centralised, which hinders their scalability. The primary objective of this article is to provide a holistic overview of the state-of-the-art on indexing, discovery, and ranking of IoT data. The article aims to pave the way for researchers to design, develop, implement, and evaluate techniques and approaches for on-line large-scale distributed IoT applications and services.
机译：支持网络的感应和驱动设备是将现实世界的对象连接到网络世界的关键推动力。物联网（IoT）由支持网络的设备和通信技术组成，这些技术和技术允许将物理对象（Things）连接和集成到数字世界（Internet）中。从连接互联网的设备中收集了大量的动态物联网数据。物联网数据通常是多变量流，它们是异构的，零星的，多模式的和时空的。 IoT数据可以以不同的粒度进行分发，并具有不同的结构，类型和质量。处理来自异构物联网资源和服务的大量数据，对索引，发现和排名机制提出了新的挑战，这将允许构建需要在线访问和检索临时物联网数据的应用程序。但是，现有的物联网数据索引和发现方法是复杂的或集中的，这阻碍了它们的可扩展性。本文的主要目的是提供有关IoT数据索引，发现和排名的最新技术的整体概述。本文旨在为研究人员设计，开发，实施和评估在线大规模分布式物联网应用程序和服务的技术和方法铺平道路。

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