第二届国际自感知计算研讨会 2017 Workshop on Self-Aware Computing SEAC 2017

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The workshop on self-aware computing (SeAC) provides a forum for exchange of ideas and experiences in the interdisciplinary area of self-aware computing, fostering interaction and collaborations between the different research communities interested in self-aware computing systems. The workshop was initiated by the 2015 Dagstuhl Seminar 15041 on model-driven algorithms and architectures for self-aware computing systems, which brought together 45 international experts. As proposed by the seminar and documented in a recent Springer book on the topic, self-aware computing systems are understood in a broad sense seeking to integrate the different ways in which this term is used in the interdisciplinary research landscape.

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重要日期

2017-04-03

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2017-04-20

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Topics of Interest

Fundamental science and theory of self-aware computing systems
Levels and aspects of self-aware computing systems
Architectures for individual and collective systems
Methods and algorithms for model learning (self-modeling) and reasoning
Self-adaptation in individual and collective systems
Synthesis and verification Metrics and benchmarks
Transition strategies for increasing self-awareness in existing systems
Open challenges and future research directions
Applications and case studies: cloud computing, cyber-physical systems, data centers, dependable computing, industrial internet / industry 4.0, internet of things, mobile computing, service-oriented systems, smart buildings, smart city, smart grid / energy management, smart factory, traffic management, autonomous robotics, and space applications.