원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.9 No.5
2015.05
pp.127-134
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
When faults are detected, it is hard for testers to locate the faults caused by either hardware (HW) or software (SW), especially in an embedded system such as a mobile AP, where hardware and software operate tightly coupled. We propose a method to diagnose fault by analyzing Hardware Performance Counter (HPC) and execution information. This approach collects data for the purpose of diagnosing faults by hooking the kernel system calls accessing the hardware, which minimizes the overhead on the real-time environment without any special hardware components. We describe our method, mainly focusing on the CPU faults, and present a case study.
목차
Abstract
1. Introduction
2. Related Research
2.1. Hardware-based Fault Detection Method
2.2. Software-based Fault Detection Method
3. Faults Diagnosis Method
3.1. Hooking Agent for Collecting Monitoring Data
3.2. CPU Fault Diagnosis
3.3. SHARK
4. Case Study
4.1. Overhead
5. Conclusion
References
1. Introduction
2. Related Research
2.1. Hardware-based Fault Detection Method
2.2. Software-based Fault Detection Method
3. Faults Diagnosis Method
3.1. Hooking Agent for Collecting Monitoring Data
3.2. CPU Fault Diagnosis
3.3. SHARK
4. Case Study
4.1. Overhead
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보