Real-Time-Aware Embedded DSMS Applicable to Advanced Driver Assistance Systems

Author

Katsunuma, Satoshi ; Honda, Shogo ; Sato, Kiminori ; Watanabe, Yoshihiro ; Nakamoto, Yukikazu ; Takada, Hiroaki

Author_Institution

Grad. Sch. of Inf. Sci., Nagoya Univ., Nagoya, Japan

fYear

2014

fDate

6-9 Oct. 2014

Firstpage

106

Lastpage

111

Abstract

Automotive embedded systems are composed of many kinds of sensors, and it is becoming difficult to manage these data. Therefore, we define a vehicle data processing by a Stream Processing Description (SPD), which is the data processing description used in the Data Stream Management Systems (DSMS). However, because existing DSMSs run on generalpurpose systems, it is difficult to deploy DSMSs in automotive embedded systems and fulfill these performance requirements. The DSMS for automotive embedded systems (eDSMS) generates an optimized runtime from the queries defined by an SPD not dynamically (in execution) but statically (in development), which reduces the ROM/RAM usage. In this study, we extend eDSMS for real-time processing and show the extended eDSMS is applicable to the Advanced Driver Assistance Systems (ADAS).

Keywords

database management systems; driver information systems; embedded systems; random-access storage; read-only storage; ADAS; ROM/RAM usage; SPD; advanced driver assistance system; automotive embedded system; data processing description; data stream management systems; eDSMS; general purpose system; real-time processing; real-time-aware embedded DSMS; stream processing description; vehicle data processing; Automotive engineering; Data processing; Generators; Random access memory; Read only memory; Runtime; Vehicles; DSMS; RTOS; real-time processing; stream;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliable Distributed Systems Workshops (SRDSW), 2014 IEEE 33rd International Symposium on

Conference_Location

Nara

Type

conf

DOI

10.1109/SRDSW.2014.20

Filename

7000145