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碩士 === 國立中央大學 === 軟體工程研究所 === 107 === With the rapid popularization of the Internet of things and automotive electronics, the modern embedded system automotive needs to process information from sensors to help achieve an intelligent vehicle environment. The automotive environment has the characteris...

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Bibliographic Details
Main Authors: Yen-Ping Lee, 李彥平
Other Authors: Wei-Jen Wang
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/qnrf8s
Description
Summary:碩士 === 國立中央大學 === 軟體工程研究所 === 107 === With the rapid popularization of the Internet of things and automotive electronics, the modern embedded system automotive needs to process information from sensors to help achieve an intelligent vehicle environment. The automotive environment has the characteristic of unstable power supply. For example, when the car flameout and the only power supply is car battery, the embedded system on the car should enter the standby mode or just shut down to save power. When the engine starts, the system comes back to the working mode. However, this procedure takes time, and it will become a problem if this procedure takes too long. Hence we need a fast booting mechanism to reduce the initializing time of the embedded system. The fast booting mechanism is mainly based on the characteristics of the embedded platform. Several types of techniques are popular: first is to bypass the unnecessary part of the booting procedure, second is to create a snapshot when the system is totally initialized, then resume the system by load the snapshot back when next booting, last is reduce booting time by changing the algorithm that used by booting procedure. This paper presents some the techniques that fit in the modern embedded systems and proposes a solution to this problem. Through experimental tests, the optimized systems initialize time is 70% faster than the original system.