Model-driven engineering of planning and optimisation algorithms for pervasive computing environments

  • Authors:

  • Anthony Harrington;Vinny Cahill

  • Affiliations:

  • Distributed Systems Group, School of Computer Science and Statistics, Trinity College Dublin, Ireland;Distributed Systems Group, School of Computer Science and Statistics, Trinity College Dublin, Ireland

  • Venue:
  • PERCOM '11 Proceedings of the 2011 IEEE International Conference on Pervasive Computing and Communications
  • Year:
  • 2011

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Abstract

This paper presents a model-driven approach to developing pervasive computing applications that exploits design-time information to support the engineering of planning and optimisation algorithms that reflect the presence of uncertainty, dynamism and complexity in the application domain. In particular the task of generating code to implement planning and optimisation algorithms in pervasive computing domains is addressed.