Vulnerability Analysis of High Dimensional Complex Systems
Final rept. 1 May 2009-30 Jan 2010
NEW ENGLAND COMPLEX SYSTEMS INST CAMBRIDGE MA
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We developed a neuromorphic information processing pipeline that can characterize the vulnerability of complex systems. The process consists of extracting a dynamic measure of network activity and processing the resulting time series to find patterns of collective behavior. The process succeeded in identifying extreme events that are distinct from high demand but otherwise effective system activity. Novel spatiotemporal analysis and dimensionality reduction techniques made this result possible. The pipeline can be used quite generally for analyzing high-dimensional time series and isolating extreme events in real world communication, transportation and economic systems. This system can be combined with real-time system monitoring of data streams to identify dysfunctional behaviors and characterize vulnerabilities or system instabilities as they occur.
- Computer Systems