DocumentCode
244568
Title
Modeling Self-Expression by holons
Author
Capodieci, Nicola ; Cabri, Giacomo ; Zambonelli, Franco
Author_Institution
Dipt. FIM, Univ. di Modena e Reggio Emilia, Modena, Italy
fYear
2014
fDate
21-25 July 2014
Firstpage
424
Lastpage
431
Abstract
Finding the right instruments for increasing the level of adaptivity in ensembles of autonomic components is a challenging task, since these ensembles (as large set of computational units) are often located in non-deterministic scenarios in which stopping a system for further tuning is unfeasible. In this paper, we propose an approach to model and enable the capability of adopting different collaboration patterns in ensembles of autonomic components inserted in open and non-deterministic environments by taking inspiration from the holonic organisation of multi agent systems and Self-Expression; the latter one is defined as the property of a distributed system to change its collaboration pattern during run time executions of tasks in unknown situations. Ensembles able to deploy Self-Expression show a higher level of adaptation and the concept of Self-Expression can be easily exploited through a Self-Repeating structure like a hierarchy of holons.
Keywords
fault tolerant computing; multi-agent systems; self-adjusting systems; adaptivity level; autonomic components; collaboration patterns; computational units; distributed system; ensembles; holonic organisation; multiagent systems; nondeterministic environments; nondeterministic scenarios; run time executions; self-adaptation; self-expression modeling; self-repeating structure; Adaptation models; Autonomic systems; Collaboration; Indexes; Instruments; Multi-agent systems; Ensemble of autonomic components; Holons; Self-Adaptation; Self-Expression;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing & Simulation (HPCS), 2014 International Conference on
Conference_Location
Bologna
Print_ISBN
978-1-4799-5312-7
Type
conf
DOI
10.1109/HPCSim.2014.6903716
Filename
6903716
Link To Document