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CHPC and Naive Bayesian Based Concurrent Communication System Exception Detecting

机译:基于CHPC和朴素贝叶斯的并发通信系统异常检测

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摘要

Automatic monitoring and detecting the real-time exceptions in high reliability software systems are critical important. But by current methods, it is difficult to realize, especially in a communication system with concurrent processes. This paper presents a method that employs Naive Bayesian method and hardware performance counters, which exists in most modern CPUs, to analyze software exception status. Experiment results figure that this method ensures a high quality software exception detecting mechanism.
机译:在高可靠性软件系统中自动监视和检测实时异常至关重要。但是,通过当前的方法,难以实现,尤其是在具有并发进程的通信系统中。本文提出了一种方法,该方法利用朴素贝叶斯方法和大多数现代CPU中存在的硬件性能计数器来分析软件异常状态。实验结果表明,该方法可以保证高质量的软件异常检测机制。

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