Runtime Monitoring of Real time Safety Requirements in Smart Cities
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There is an increasing need for the runtime monitoring of real time safety and performance requirements in smart cities. In this paper, we present SaSTL, a novel Spatial Aggregation Signal Temporal Logic, to specify and monitor real time requirements in smart cities. We also develop an efficient runtime monitoring algorithm that can check in parallel a SaSTL requirement over multiple data streams generated from thousands of sensors that are typically spatially distributed over a smart city. We evaluate the real time SaSTL monitor by applying it to two city application scenarios with large scale real sensing data, (e.g., up to 10,000 sensors in one requirement). The results show that SaSTL monitoring can help improve the city performance in simulated experiments (e.g., 21.1 significant reduction of computation time compared with previous approaches (e.g., from 2 hours to 30 minutes on average when monitoring 80 requirements).
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