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N. Dutt, A. Jantsch, S. Sarma:
"Towards Smart Embedded Systems: A Self-Aware System-on-Chip Perspective";
ACM Transactions on Embedded Computing Systems, 14 (2015), S. 1 - 27.

mbedded systems must address a multitude of potentially conflicting design constraints such as resiliency,
energy, heat, cost, performance, security, etc., all in the face of highly dynamic operational behaviors and
environmental conditions. By incorporating elements of intelligence, the hope is that the resulting "smart"
embedded systems will function correctly and within desired constraints in spite of highly dynamic changes
in the applications, the environment, as well as in the underlying software/hardware platforms. Since terms
related to "smartness" (e.g., self-awareness, self-adaptivity and autonomy) have been used loosely in many
software and hardware computing contexts, we first present a taxonomy of "self-x" terms, and use this
taxonomy to relate major "smart" software and hardware computing efforts. A major attribute for smart
embedded systems is the notion of self-awareness, that enables an embedded system to monitor its own state
and behavior, as well as the external environment, so as to adapt intelligently. Towards this end, we use a
System-on-Chip perspective to show how the CyberPhysical System-on-Chip (CPSoC) exemplar platform
achieves self-awareness through a combination of cross-layer sensing, actuation, self-aware adaptations,
and on-line learning. We conclude with some thoughts on open challenges and research directions.

mart Embedded System, System-on-Chip, Run-time System, Self-Awareness, Self- Adaptation, Autonomous System