Adaptive Memory-based Data Storage Algorithm for Connected Vehicle Platform

The substrates of connected vehicle data are worth using as features such as accident rate of vehicles or prediction of vehicle parts. In this paper, we propose an architecture of connected vehicle platform on how data can be efficiently structured and analyzed by gathering raw data generated from various devices of data production layer. We also propose an adaptive memory-based data storage algorithm in data reception layer of the connected vehicle platform. End-to-end application services of the connected vehicle platform are considered integrated three layers which include data production, data reception, and exploitation. In terms of the performance of the insert process, it shows approximately 2.6 times less than the performance of the conventional insert process.