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. [10.1016/j.pmcj.2014.12.002]

Developing pervasive multi-agent systems with nature-inspired coordination

ZAMBONELLI, Franco;CASTELLI, Gabriella;MAMEI, Marco;MARIANI, Stefano;ROSI, Alberto;
2015

Abstract

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.
2015
11-dic-2014
17
236
252
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. [10.1016/j.pmcj.2014.12.002]
Zambonelli, Franco; Omicini, Andrea; Anzengruber, Bernhard; Castelli, Gabriella; De Angelis, Francesco L.; Serugendo, Giovanna Di Marzo; Dobson, Simon...espandi
File in questo prodotto:
File Dimensione Formato  
PMC_SAPERE_final.pdf

Open access

Tipologia: Versione dell'autore revisionata e accettata per la pubblicazione
Dimensione 3.9 MB
Formato Adobe PDF
3.9 MB Adobe PDF Visualizza/Apri
VQR_1-s2.0-S1574119214001904-main.pdf

Accesso riservato

Tipologia: Versione pubblicata dall'editore
Dimensione 1.04 MB
Formato Adobe PDF
1.04 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1074457
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 78
  • ???jsp.display-item.citation.isi??? 63
social impact