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This paper presents a run-time monitoring framework to detect end-to-end timing constraint violations of event flows in distributed real-time systems. The framework analyzes every event on possible event flow paths and automatically inserts timing fault checks for run-time detection. When the framework detects a timing violation, it provides users with the event flow's run-time path and the time consumption...
Optical diagnosis, performance monitoring, and characterization are essential for achieving high performance and ensuring high quality of services (QoS) of any efficient and reliable optical access network. In this paper, we proposed a practical in-service transmission surveillance scheme for passive optical network (PON). The proposed scheme is designed and simulated by using the OptiSystem CAD program...
The following topics are dealt with: power distribution; power electronic applications; electronic devices; fault management; intelligent systems; sensor development; process control methods; vehicle technologies; safety monitoring system; intelligent control; power converters; signal processing application; control hardware applications; robotic systems; real-time embedded systems; electric motors;...
The rapid growth in complexity of the automotive ECU (Electronic Control Unit) networks has posed challenges in real-time network management, which collects network information for fault diagnostic systems. This paper proposes a dynamic network management framework based on the OSEK Network Management protocols, which can automatically adapt to the unstable network load. A method to calculate appropriate...
The purpose of Grid monitoring and management is to monitor services in Grid environment for fault detection, performance analysis, performance tuning, load balancing and scheduling. This paper emphasis on presenting a new framework namely iNet-Grid deployed for Grid monitoring and troubleshooting purposes. The iNet-Grid is integrated on top of Ganglia. iNet-Grid has been tested and successfully accomplished...
In modeling and designing sensor systems, there is always a tradeoff between increasing the robustness of the sensor system and increasing the efficiency of sensor use. To compare alternative solutions, we need to define quantitative measures that capture the required sensor system characteristics such as time and space complexity, robustness, error variance, etc. Our goal is to develop tools to assist...
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