A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues
A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues
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DOI：
10.1109/comst.2017.2694469
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发表时间：
2017-01-01
影响因子：
35.6
通讯作者：
Kato, Nei
中科院分区：
文献类型：
--
作者：
Verma, Shikhar;Kawamoto, Yuichi;Kato, Nei
随着物联网（IoT）的广泛采用，连接设备的数量正以指数级速度增长，这有助于不断增加的海量数据量。对海量物联网数据的实时分析，本文中称为“实时物联网分析”，正在成为主流，旨在提供即时或非即时的可操作见解和商业智能。然而，现有物联网系统的分析网络没有充分考虑实时物联网分析的要求。事实上，大多数研究人员忽略了物联网分析网络的适当设计，而更多地关注物联网系统的传感和交付网络。由于物联网分析网络的大部分内容通常被认为是理所当然的，因此在本文中，我们的调查旨在审查适用于实时物联网分析的最先进的分析网络方法。在这种情况下，我们首先描述了实时物联网分析，用例和软件平台的基础知识，然后解释了支持它们的网络方法的缺点。为了解决这些缺点，我们讨论了可以支持实时物联网分析的相关网络方法。此外，我们提出了一些前瞻性的研究问题和未来的研究方向，重点是实时物联网分析的网络方法。
With the widespread adoption of the Internet of Things (IoT), the number of connected devices is growing at an exponential rate, which is contributing to ever-increasing, massive data volumes. Real-time analytics on the massive IoT data, referred to as the "real-time IoT analytics" in this paper, is becoming the mainstream with an aim to provide an immediate or non-immediate actionable insights and business intelligence. However, the analytics network of the existing IoT systems does not adequately consider the requirements of the real-time IoT analytics. In fact, most researchers overlooked an appropriate design of the IoT analytics network while focusing much on the sensing and delivery networks of the IoT system. Since much of the IoT analytics network has often been taken as granted, the survey, in this paper, we aim to review the state-of-the-art of the analytics network methodologies, which are suitable for real-time IoT analytics. In this vein, we first describe the basics of the real-time IoT analytics, use cases, and software platforms, and then explain the shortcomings of the network methodologies to support them. To address those shortcomings, we then discuss the relevant network methodologies which may support the real-time IoT analytics. Also, we present a number of prospective research problems and future research directions focusing on the network methodologies for the real-time IoT analytics.