The Benefits of Self-Awareness and Attention in Fog and Mist Computing

Self-awareness facilitates a proper assessment of cost-constrained cyber-physical systems, allocating limited resources where they are most needed. Together, situation awareness and attention are key enablers for self-awareness in efficient distributed sensing and computing networks.

[1]  E. J. Manwell The Heart Rate , 1933, The Yale Journal of Biology and Medicine.

[2]  Mica R. Endsley,et al.  Design and Evaluation for Situation Awareness Enhancement , 1988 .

[3]  B. Baars A cognitive theory of consciousness , 1988 .

[4]  Robert Laddaga Active Software , 2000, IWSAS.

[5]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[6]  A. Morin Levels of consciousness and self-awareness: A comparison and integration of various neurocognitive views , 2006, Consciousness and Cognition.

[7]  Debanjan Ghosh,et al.  Self-healing systems - survey and synthesis , 2007, Decis. Support Syst..

[8]  Xiang Chen,et al.  Real-time physical activity monitoring by data fusion in body sensor networks , 2007, 2007 10th International Conference on Information Fusion.

[9]  Schahram Dustdar,et al.  A survey on self-healing systems: approaches and systems , 2010, Computing.

[10]  H. Aarts,et al.  Goals, attention, and (un)consciousness. , 2010, Annual review of psychology.

[11]  Alessandro Tognetti,et al.  Heart Rate and Accelerometer Data Fusion for Activity Assessment of Rescuers During Emergency Interventions , 2010, IEEE Transactions on Information Technology in Biomedicine.

[12]  H. Spencer The Principles of Psychology - Volume II. , 2010 .

[13]  Henry Hoffmann,et al.  SEEC: A Framework for Self-aware Computing , 2010 .

[14]  Phan Cong-Vinh Autonomic Networking-on-Chip: Bio-Inspired Specification, Development, and Verification , 2011 .

[15]  A. Riid,et al.  An integrated approach for the identification of compact, interpretable and accurate fuzzy rule-based classifiers from data , 2011, 2011 15th IEEE International Conference on Intelligent Engineering Systems.

[16]  Rami Bahsoon,et al.  A Survey of Self-Awareness and Its Application in Computing Systems , 2011, 2011 Fifth IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops.

[17]  Simon A. Dobson,et al.  Situation identification techniques in pervasive computing: A review , 2012, Pervasive Mob. Comput..

[18]  James Llinas,et al.  On-line data validation in distributed data fusion , 2013, Defense, Security, and Sensing.

[19]  George Kornaros,et al.  A survey and taxonomy of on-chip monitoring of multicore systems-on-chip , 2013, TODE.

[20]  Ichiro Satoh A Framework for Data Processing at the Edges of Networks , 2013, DEXA.

[21]  David Lillethun,et al.  Mobile fog: a programming model for large-scale applications on the internet of things , 2013, MCC '13.

[22]  Xin Yao,et al.  The Handbook of Engineering Self-Aware and Self-Expressive Systems , 2014, ArXiv.

[23]  Axel Jantsch,et al.  A framework of awareness for artificial subjects , 2014, 2014 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).