Challenges of Big Data and Vehicle Data

C. Prehofer
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Abstract

In this short paper, we outline the challenges of Big Data processing for vehicle data, considering different use cases as well as different locations. On an architectural level, we show the benefits and possible limitations of the different approaches for in-vehicle processing, edge computing as well as cloud processing. We also discuss different approaches for Big Data Processing, including batch processing as well as distributed stream processing.
大数据与车辆数据的挑战
在这篇短文中,考虑到不同的用例和不同的地点,我们概述了车辆数据大数据处理的挑战。在架构层面上,我们展示了车载处理、边缘计算和云处理的不同方法的优点和可能的局限性。我们还讨论了大数据处理的不同方法,包括批处理和分布式流处理。
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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