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DOI: 10.14569/IJACSA.2015.060240
PDF

Vehicle Embedded Data Stream Processing Platform for Android Devices

Author 1: Shingo Akiyama
Author 2: Yukikazu Nakamoto
Author 3: Akihiro Yamaguchi
Author 4: Kenya Sato
Author 5: Hiroaki Takada

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 2, 2015.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Automotive information services utilizing vehicle data are rapidly expanding. However, there is currently no data centric software architecture that takes into account the scale and complexity of data involving numerous sensors. To address this issue, the authors have developed an in-vehicle data-stream management system for automotive embedded systems (eDSMS) as data centric software architecture. Providing the data stream functionalities to drivers and passengers are highly beneficial. This paper describes a vehicle embedded data stream processing platform for Android devices. The platform enables flexible query processing with a dataflow query language and extensible operator functions in the query language on the platform. The platform employs architecture independent of data stream schema in in-vehicle eDSMS to facilitate smoother Android application program development. This paper presents specifications and design of the query language and APIs of the platform, evaluate it, and discuss the results.

Keywords: Android, automotive, data stream management system

Shingo Akiyama, Yukikazu Nakamoto, Akihiro Yamaguchi, Kenya Sato and Hiroaki Takada, “Vehicle Embedded Data Stream Processing Platform for Android Devices” International Journal of Advanced Computer Science and Applications(IJACSA), 6(2), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060240

@article{Akiyama2015,
title = {Vehicle Embedded Data Stream Processing Platform for Android Devices},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060240},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060240},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {2},
author = {Shingo Akiyama and Yukikazu Nakamoto and Akihiro Yamaguchi and Kenya Sato and Hiroaki Takada}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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