Pervasive computing systems can be modelled effectively as populations of interacting autonomous components. The key challenge to realizing such models is in getting separately-specified and -developed sub-systems to discover and interoperate with each other in an open and extensible way, supported by appropriate middleware services. In this paper, we argue that nature-inspired coordination models offer a promising way of addressing this challenge. We first frame the various dimensions along which nature-inspired coordination models can be defined, and survey the most relevant proposals in the area. We describe the nature-inspired coordination model developed within the SAPERE project as a synthesis of existing approaches, and show how it can effectively support the multifold requirements of modern and emerging pervasive services. We conclude by identifying what we think are the open research challenges in this area, and identify some research directions that we believe are promising.

Developing pervasive multi-agent systems with nature-inspired coordination / Zambonelli, Franco; Omicini, Andrea; Anzengruber, Bernhard; Castelli, Gabriella; De Angelis, Francesco L.; Serugendo, Giovanna Di Marzo; Dobson, Simon; Fernandez Marquez, Jose Luis; Ferscha, Alois; Mamei, Marco; Mariani, Stefano; Molesini, Ambra; Montagna, Sara; Nieminen, Jussi; Pianini, Danilo; Risoldi, Matteo; Rosi, Alberto; Stevenson, Graeme; Viroli, Mirko; Ye, Juan. - In: PERVASIVE AND MOBILE COMPUTING. - ISSN 1574-1192. - STAMPA. - 17(2015), pp. 236-252.

I documenti presenti in Iris Unimore sono rilasciati con licenza Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia, salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Powered by IRIS-about IRIS-Utilizzo dei cookie

 Copyright © 2020