DocumentCode :
1787443
Title :
Collective Adaptation in Process-Based Systems
Author :
Bucchiarone, Antonio ; Mezzina, Claudio Antares ; Pistore, Marco ; Raik, Heorhi ; Valetto, Giuseppe
Author_Institution :
Fondazione Bruno Kessler, Trento, Italy
fYear :
2014
fDate :
8-12 Sept. 2014
Firstpage :
151
Lastpage :
156
Abstract :
A collective adaptive system is composed of a set of heterogeneous, autonomous and self-adaptive entities that come into a collaboration with one another in order to improve the effectiveness with which they can accomplish their individual goals. In this paper, we offer a characterization of ensembles, as the main concept around which systems that exhibit collective adaptability can be built. Our conceptualization of ensembles enables to define a collective adaptive system as an emergent aggregation of autonomous and self-adaptive process-based elements. To elucidate our approach to ensembles and collective adaptation, we draw an example from a scenario in the urban mobility domain, we describe an architecture that enables that approach, and we show how our approach can address the problems posed by the motivating scenario.
Keywords :
self-adjusting systems; autonomous entities; autonomous process-based elements; collective adaptability; collective adaptation; collective adaptive system; ensembles characterization; heterogeneous entities; process-based systems; self-adaptive entities; self-adaptive process-based elements; urban mobility domain; Abstracts; Adaptation models; Adaptive systems; Collaboration; Labeling; Runtime; Transportation; Collective adaptive systems; composition; dynamic adaptation; process; self-adaptation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Self-Adaptive and Self-Organizing Systems (SASO), 2014 IEEE Eighth International Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/SASO.2014.28
Filename :
7001011
Link To Document :
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