Self-configuration in humanized Cyber-Physical Systems

Abstract

Most works on Cyber-Physical Systems (CPS) are based on classic hardware infrastructures made of sensors, actuators and processing devices. Usual self-configuration technologies, then, do not allow humans to be integrated in CPS as service providers. Therefore, in this work we propose a new self-configuration technology for humanized CPS. The proposed technology uses simple binary and mathematical operations in order to reduce the convergence time, improve the scalability and address the dynamism introduced by humans into CPS. Besides, a human-oriented quality-of-service algorithm based on the Maslow pyramid is also introduced. Moreover, an experimental validation is conducted in order to validate the proposed solution as a useful and scalable self-configuration technology for humanized Cyber-Physical Systems.

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Acknowledgments

The research leading to these results has received funding from the Ministry of Economy and Competitiveness through SEMOLA project (TEC2015-68284-R) and from the Autonomous Region of Madrid through MOSI-AGIL-CM project (grant P2013/ICE-3019, co-funded by EU Structural Funds FSE and FEDER).

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Correspondence to Borja Bordel.

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Bordel, B., Alcarria, R., Martín, D. et al. Self-configuration in humanized Cyber-Physical Systems. J Ambient Intell Human Comput 8, 485–496 (2017). https://doi.org/10.1007/s12652-016-0410-3

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Keywords

  • Cyber-Physical Systems
  • HCI
  • Humanized computing
  • Self-configuration
  • Humanized CPS
  • Maslow pyramid