Vehicle Embedded Data Stream Processing Platform for Android Devices

Abstract

Automotive information services utilizing vehicle data are rapidlyexpanding. However, there is currently no data centric softwarearchitecture that takes into account the scale and complexity of datainvolving numerous sensors. To address this issue, the authors havedeveloped an in-vehicle data-stream management system for automotiveembedded systems (eDSMS) as data centric software architecture.Providing the data stream functionalities to drivers and passengers arehighly beneficial. This paper describes a vehicle embedded data streamprocessing platform for Android devices. The platform enables flexiblequery processing with a dataflow query language and extensible operatorfunctions in the query language on the platform. The platform employsarchitecture independent of data stream schema in in-vehicle eDSMS tofacilitate smoother Android application program development. This paperpresents specifications and design of the query language and APIs of theplatform, evaluate it, and discuss the results.