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In this paper we propose an online lightweight anomaly symptom detection and process's resource usage control mechanism. Our system collects fine-grain resource information that can reflect the subtle changes of the application's behavior. Then it creates models with a learning based algorithm without manual configurations. If an anomaly symptom is detected, the automatic procedure will start. The...
Computers are now present almost everywhere and connected into ever more complex networks. This means not only that embedded systems are more complicated, but also that communication among the diverse stakeholders of systems is much harder than before. This paper introduces the D-Case approach to a systematic explanation of embedded-systems dependability. A D-Case is a structured document that argues...
In this paper, a novel lightweight anomaly and fault detection infrastructure called anomaly detection by resource monitoring (Ayaka) is presented for information appliances. Ayaka provides a general monitoring method for detecting anomalies using only resource usage information on systems independent of its domain, target application, and programming languages. Ayaka modifies the kernel to detect...
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