State-of-the-Art and Trends in Nature-inspired Coordination Models


Stefano Mariani, Andrea Omicini

IEEE Intelligent Informatics Bulletin 18(2), December 2017
IEEE Computer Society

Mostly stemming from closed parallel systems, coordination models and technologies gained in scope and expressive power so as to deal with complex distributed systems. In particular, in the last decade nature-inspired coordination (NIC) models emerged as the most effective approaches to tackle the complexity of pervasive, intelligent, and self-* systems. In this review paper we discuss their evolution, by analysing the main motivations behind the research effort on NIC, the foremost features of the most successful models, and the key issues and challenges they bring along.

(keywords) Nature-inspired coordination, Coordination models
 @article{nic-ieeeiib18,
Author = {Mariani, Stefano and Omicini, Andrea},
Issn = {1727-5997},
Issn-Online = {1727-6004},
Journal = {IEEE Intelligent Informatics Bulletin},
Keywords = {Nature-inspired coordination, Coordination models},
Month = dec,
Number = 2,
Organization = {Technical Committee on Intelligent Informatics (TCII)},
Pages = {35--40},
Publisher = {IEEE Computer Society},
Title = {State-of-the-Art and Trends in Nature-inspired Coordination Models},
Url = {http://www.comp.hkbu.edu.hk/~cib/2017/Dec/article6/iib_vol18no2_article6.pdf},
Volume = 18,
Year = 2017

Journals & Series

Publication

— authors

Stefano Mariani, Andrea Omicini

— status

published

— sort

article in journal

Venue

— journal

IEEE Intelligent Informatics Bulletin

— volume

18

— issue

2

— publication date

December 2017

URLs

original PDF

Identifiers

— IRIS

11585/614444

— print ISSN

1727-5997

— online ISSN

1727-6004

BibTeX

— BibTeX ID
nic-ieeeiib18
— BibTeX category
article

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