가상화 환경에서 임베디드 시스템을 위한 모니터링 프레임워크와 디버깅 시스템

Abstract

Effective profiling diagnoses the failure of the system and informs risk. If a failure in the target system occurs, it is impossible to diagnose more than one of the exiting tools. In this respect, monitoring of the system based on virtualization is useful. We present in this paper a monitoring framework that uses the characteristics of hardware virtualization to prevent side-effects from a target guest, and uses dynamic binary instrumentation with instruction-level trapping based on hardware virtualization to achieve efficiency and flexibility. We also present examples of some applications that use this framework. The framework provides tracing of guest kernel function, memory dump, and debugging that uses GDB stub with GDB remote protocol. The experimental evaluation of our prototype shows that the monitoring framework incurs at most 2% write memory performance overhead for end users.