• DocumentCode
    1787443
  • Title

    Collective Adaptation in Process-Based Systems

  • Author

    Bucchiarone, Antonio ; Mezzina, Claudio Antares ; Pistore, Marco ; Raik, Heorhi ; Valetto, Giuseppe

  • Author_Institution
    Fondazione Bruno Kessler, Trento, Italy
  • fYear
    2014
  • fDate
    8-12 Sept. 2014
  • Firstpage
    151
  • Lastpage
    156
  • Abstract
    A collective adaptive system is composed of a set of heterogeneous, autonomous and self-adaptive entities that come into a collaboration with one another in order to improve the effectiveness with which they can accomplish their individual goals. In this paper, we offer a characterization of ensembles, as the main concept around which systems that exhibit collective adaptability can be built. Our conceptualization of ensembles enables to define a collective adaptive system as an emergent aggregation of autonomous and self-adaptive process-based elements. To elucidate our approach to ensembles and collective adaptation, we draw an example from a scenario in the urban mobility domain, we describe an architecture that enables that approach, and we show how our approach can address the problems posed by the motivating scenario.
  • Keywords
    self-adjusting systems; autonomous entities; autonomous process-based elements; collective adaptability; collective adaptation; collective adaptive system; ensembles characterization; heterogeneous entities; process-based systems; self-adaptive entities; self-adaptive process-based elements; urban mobility domain; Abstracts; Adaptation models; Adaptive systems; Collaboration; Labeling; Runtime; Transportation; Collective adaptive systems; composition; dynamic adaptation; process; self-adaptation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems (SASO), 2014 IEEE Eighth International Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/SASO.2014.28
  • Filename
    7001011