• DocumentCode
    2981661
  • Title

    Nature-Inspired Spatial Metaphors for Pervasive Service Ecosystems

  • Author

    Villalba, Cynthia ; Rosi, Alberto ; Viroli, Mirko ; Zambonelli, Franco

  • Author_Institution
    Univ. of Modena & Reggio Emilia, Reggio Emilia
  • fYear
    2008
  • fDate
    20-24 Oct. 2008
  • Firstpage
    332
  • Lastpage
    337
  • Abstract
    Innovative paradigms and frameworks have to be identified to enable the effective deployment and execution of pervasive computing services able to enforcing properties of self-organization and self-adaptability, self-management, and of long-lasting evolvability. This paper discusses how such frameworks should get inspiration from natural systems, by enabling modeling and deployment of services as autonomous individuals, spatially-situated in a system of other services, data sources, and pervasive devices, all of which acting, interacting, and evolving according to a limited set of spatial ldquolaws of naturerdquo. In this context, this paper presents a reference architecture to uniformly frame such concepts, surveys and critically analyzes different nature-inspired spatial metaphors to realize the idea, and details our current research agenda concerning the development of service frameworks inspired to the ecological metaphor.
  • Keywords
    software architecture; ubiquitous computing; long-lasting evolvability; nature-inspired spatial metaphors; pervasive computing; pervasive service ecosystems; reference architecture; self-adaptability; self-management; self-organization; Conferences; Context-aware services; Cost function; Ecosystems; Pervasive computing; RFID tags; Service oriented architecture; Technological innovation; Wireless communication; Wireless sensor networks; agents; ecosystem; pervasive services; rfid; sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems Workshops, 2008. SASOW 2008. Second IEEE International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-0-7695-3553-1
  • Electronic_ISBN
    978-0-7695-3553-1
  • Type

    conf

  • DOI
    10.1109/SASOW.2008.47
  • Filename
    4800699