Building Connected Car Applications on Top of the World-Wide Streams Platform: Demo

W. V. Raemdonck, T. V. Cutsem, K. S. Esmaili, M. Cortes, P. Dobbelaere, L. Hoste, Eline Philips, M. Roelands, L. Trappeniers
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引用次数: 5

Abstract

The connected car is likely to play a fundamental role in the foreseeable Internet of Things. The connectivity aspect in combination with the available data (e.g. from GPS, on-board diagnostics, road sensors) and video (e.g. from dashcams and traffic cameras) streams enable a range of new applications, e.g., accident avoidance, online route planning, energy optimization, etc. These applications, however, come with an additional set of requirements which are not accommodated by the state-of-the-art stream processing platforms. We have built World-Wide Streams (WWS), a novel stream processing platform that has been explicitly designed with those requirements in mind. In this demo presentation, we will show a number of connected car scenarios that we have built on top of WWS.
基于全球流平台构建联网汽车应用:演示
联网汽车很可能在可预见的物联网中发挥基础性作用。连接方面与可用数据(例如来自GPS、车载诊断、道路传感器)和视频(例如来自行车记录仪和交通摄像头)流相结合,可以实现一系列新应用,例如事故避免、在线路线规划、能源优化等。然而,这些应用程序带来了一组额外的要求,这些要求是最先进的流处理平台所不能满足的。我们已经建立了全球流(WWS),这是一个新颖的流处理平台,在设计时明确考虑了这些需求。在这个演示中,我们将展示一些基于WWS构建的联网汽车场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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