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arXiv 1503.07092cs.CY
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大数据与物联网

Big Data and the Internet of Things

Mohak Shah

摘要:

传感和计算能力的进步使得在小型设备中嵌入越来越多的计算能力成为可能。这使得传感设备不仅能够以非常高的分辨率被动地捕获数据,而且还能够采取复杂的响应行动。结合通信的进步,这导致了一个高度互联的设备生态系统,称为物联网。与此同时,机器学习的进步已经允许在不断增加的数据量上构建模型。因此,从飞机发动机等重资产到健康监控器等可穿戴设备,现在不仅可以生成大量数据,还可以利用聚合分析来“改善”其性能。大数据分析已被确定为物联网的关键推动因素。在本章中,我们将讨论物联网的各种途径,其中大数据分析已经产生了重大影响,或者即将产生重大影响。我们还讨论了社会影响和关注的领域。

英文摘要:

Advances in sensing and computing capabilities are making it possible to embed increasing computing power in small devices. This has enabled the sensing devices not just to passively capture data at very high resolution but also to take sophisticated actions in response. Combined with advances in communication, this is resulting in an ecosystem of highly interconnected devices referred to as the Internet of Things - IoT. In conjunction, the advances in machine learning have allowed building models on this ever increasing amounts of data. Consequently, devices all the way from heavy assets such as aircraft engines to wearables such as health monitors can all now not only generate massive amounts of data but can draw back on aggregate analytics to "improve" their performance over time. Big data analytics has been identified as a key enabler for the IoT. In this chapter, we discuss various avenues of the IoT where big data analytics either is already making a significant impact or is on the cusp of doing so. We also discuss social implications and areas of concern.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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