Vehicle Embedded Data Stream Processing Platform for Android Devices

  • Akiyama S
  • Nakamoto Y
  • Yamaguchi A
  • et al.
Citations of this article
Mendeley users who have this article in their library.


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




Akiyama, S., Nakamoto, Y., Yamaguchi, A., Sato, K., & Takada, H. (2015). Vehicle Embedded Data Stream Processing Platform for Android Devices. International Journal of Advanced Computer Science and Applications, 6(2).

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free