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CPS를 위한 모델 기반 자율 컴퓨팅 프레임워크

Model-based Autonomic Computing Framework for Cyber-Physical Systems

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In this paper, we present the model-based autonomic computing framework for a cyber-physical system which provides a self-management and a self-adaptation characteristics. A development process using this framework consists of two phases: a design phase in which a developer models faults, normal status constrains, and goals of the CPS, and an operational phase in which an autonomic computing engine operates monitor-analysis-plan-execute(MAPE) cycle for managed resources of the CPS. We design a hierachical architecture for autonomic computing engines and adopt the Model Reference Adaptive Control(MRAC) as a basic feedback loop model to separate goals and resource management. According to the GroundVehicle example, we demonstrate the effectiveness of the framework.

Abstract

In this paper, we present the model-based autonomic computing framework for a cyber-physical system which provides a self-management and a self-adaptation characteristics. A development process using this framework consists of two phases: a design phase in which a developer models faults, normal status constrains, and goals of the CPS, and an operational phase in which an autonomic computing engine operates monitor-analysis-plan-execute(MAPE) cycle for managed resources of the CPS. We design a hierachical architecture for autonomic computing engines and adopt the Model Reference Adaptive Control(MRAC) as a basic feedback loop model to separate goals and resource management. According to the GroundVehicle example, we demonstrate the effectiveness of the framework.

참고문헌 (14)

  1. R. Kazman, "The Metropolis Model: A New Logic for the Development of Crowdsourced Systems", Communications of the ACM, pp.78~84 (2009)
  2. Integration of Software-Intensive SystemsInitiative: Addressing System-of-SystemsInteroperability, "SEI Software-Intensive Systems", ~ (2007)
  3. Ultra-Large-Scale Systems – The Software Challenge of the Future, "P. Feiler", ~ (2006)
  4. E.A. Lee, "Cyber physical systems: Design challenges", Procdeengs on ISORC`08 (2008)
  5. 김진명, "CPS모델 신뢰성 검증을 위한 HLA", RTI 기반의 하이브리드 시뮬레이션 프레임워크, 2010, ~
  6. H. Muller, "Autonomic Computing Now You See It, Now you Don’t", LNCS, 5413, pp.32~54 (2009)
  7. C. Lee, "A Runtime Evaluation Methodology and Framework for Autonomic Systems", Int. J. on Network Security, 3(2), pp.21~25 (2012)
  8. IBM, "An Architectural Blueprint for Autonomic Computing 3rd Edition" (2005), IBM
  9. J.O. Kephart, "The Vision of Autonomic Computing", IEEE Computer, 36(1), pp.41~50 (2003)
  10. "IBM Research Blue Gene Project"[URL]
  11. D. Garlan, "Rainbow: Architecture -Based Self Adaptation with Reusable Infrastructure", IEEE Computer, 37(10), pp.46~54 (2004)
  12. I. Hong, "Autonomic Computing Framework for Cyber-Physical Systems", Proceedings on Int. Conf. on Advances in Computing, Control, and Telecommunication Technologies, pp.148~151 (2001)
  13. I. Chun, "Faults and Adaptation Policy Modeling Method for Self-adaptive Robots", UCMA`11 (2011)
  14. A. Karl, "Adaptive Control" (2008), Dover Books

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