Modeling concurrent real-time processes using discrete events
Annals of Software Engineering
Cyber Physical Systems: Design Challenges
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
Proceedings of the 47th Design Automation Conference
IEEE Software
Scalable real time data management for smart grid
Proceedings of the Middleware 2011 Industry Track Workshop
Distributing Power Grid State Estimation on HPC Clusters - A System Architecture Prototype
IPDPSW '12 Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum
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High quality, high throughput sensor devices in the power distribution network are driving an increase in the volume and the rate of data streams available to monitor and control the power grid. Middleware support is essential to coordinate data streams with distributed power models and adapt to situations with data communication failures and errors in the sensor measurements. One challenge in designing this middleware support is scalability. In particular, the number of sensor devices and their intercommunications is a significant factor in determining temporal and functional properties of power models such as distributed state estimation. In this paper, we present our experience modeling the entire data flow from sensor devices to distributed state estimators using middleware. This model helps to analyze the middleware's behavior and its scalability in coordinating data streams.