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Security-aware multi-objective optimization of distributed reconfigurable embedded systems
بهینه سازی چند هدفه امنیت آگاه سیستم های جاسازی شده قابل تنظیم مجدد توزیع شده-2019 Distributed embedded systems are increasingly prevalent in numerous applications, and with pervasive
network access within these systems, security is also a critical design concern. We present a modeling
and optimization framework for distributed embedded systems incorporating heterogeneous resources,
including single core processor, asymmetric multicore processors, and FPGAs. A dataflow-based modeling
framework for streaming applications integrates models for computational latency, cryptographic
security levels, communication latency, and power consumption. We utilize a multi-objective genetic
optimization algorithm to optimize security subject to constraints for energy consumption and minimum
security level. The presented methodology is evaluated using a video-based object detection and tracking
application considering several distributed heterogeneous embedded systems architectures. Keywords: Distributed embedded systems | Security | Co-design modeling | Dynamic optimization | Design space exploration | Penalty functions |
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