Abstract
Recently, we have witnessed a period where things are connected to the Internet; the vehicle is not leaved back because connected car field is currently explored. It is without doubt that connected vehicles will generate a huge of vehicle’s diagnostics data which will be sent to remotely servers or to vehicle’s cloud providers. As the amount of vehicle’s diagnostics data increases, the actors in automotive ecosystem will encounter difficulties to perform a real time analysis in order to simulate or to design further services according to the data gathered from the connected vehicle. In this paper, Apache Hadoop framework and its ecosystems particularly Hive, Sqoop have been deployed to process vehicle diagnostics data and delivered useful outcomes that may be used by actors in automotive ecosystem to deliver new services to car owners. A study of big data solution to process vehicle diagnostics data from connected vehicles using Hadoop is proposed.
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© 2015 Springer-Verlag Berlin Heidelberg
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Nkenyereye, L., Jang, JW. (2015). A Study of Big Data Solution Using Hadoop to Process Connected Vehicle’s Diagnostics Data. In: Kim, K. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46578-3_82
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DOI: https://doi.org/10.1007/978-3-662-46578-3_82
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