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Injecting Self-organisation into Pervasive Service Ecosystems

Sara Montagna, Mirko Viroli, Jose Luis Fernandez-Marquez, Giovanna Di Marzo Serugendo, Franco Zambonelli
Pervasive service ecosystems are a new paradigm for the design of context-aware systems featuring adaptivity and self-awareness. A theoretical and practical framework has been proposed for addressing these scenarios, taking primary inspirations from natural ecosystems and grounding upon two basic abstractions: “live semantic annotations” (LSAs), which are descriptions stored in infrastructure nodes and wrapping data, knowledge, and activities of humans, devices, and services; and “eco-laws”, acting as system rules evolving the population of LSAs as if they were molecules subject to chemical-like reactions. In this paper, we aim at deepening how self-organisation can be injected in pervasive service ecosystems in terms of spatial structures and algorithms for supporting the design of context-aware applications. To this end, we start from an existing classification of self-organisation patterns, and systematically show how they can be supported in pervasive service ecosystems, and be composed to generate a self-organising emergent behaviour. A paradigmatic crowd steering case study is used to demonstrate the effectiveness of our approach.
Keywords: Pervasive Computing, Self-organisation, Chemical-inspired computing
Mobile Networks and Applications 18(3), pages 398-412, 2013, Springer Netherlands
@article{Montagna-MONET2012,
	iissn = {1383-469X},
	publisher = {Springer Netherlands},
	journal = {Mobile Networks and Applications},
	author = {Montagna, Sara and Viroli, Mirko and Fernandez-Marquez, Jose Luis and Di Marzo Serugendo, Giovanna and Zambonelli, Franco},
	title = {Injecting Self-organisation into Pervasive Service Ecosystems},
    volume    = {18},
  number    = {3},
  year      = {2013},
 	keywords = {Pervasive Computing, Self-organisation, Chemical-inspired computing},
	issn = {1572-8153},
	status = {Published},
	pages = {398-412},
	url = {http://www.springerlink.com/content/x3j4776323717w7h/},
	doi = {10.1007/s11036-012-0411-1}}