Agent-based Simulations of Patterns for Self-adaptive Systems

Mariachiara Puviani, Giacomo Cabri, Franco Zambonelli

2014

Abstract

Self-adaptive systems are distributed computing systems composed of different components that can adapt their behavior to different kinds of conditions. This adaptation does not concern the single components only, but the entire system. In a previous work we have identified several patterns for self-adaptation, classifying them by means of a taxonomy, which aims at being a support for developers of self-adaptive systems. Starting from that theoretical work, we have simulated the described self-adaptation patterns, in order to better understand the concrete and real features of each pattern. The contribution of this paper is to report about the simulation work, detailing how it was carried out, and to present a “table of applicability” that completes the initial taxonomy of patterns and provides a further support for the developers.

Paper Citation

in Harvard Style

Puviani M., Cabri G. and Zambonelli F. (2014). Agent-based Simulations of Patterns for Self-adaptive Systems . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 190-200. DOI: 10.5220/0004925001900200

in Bibtex Style

@conference{icaart14,
author={Mariachiara Puviani and Giacomo Cabri and Franco Zambonelli},
title={Agent-based Simulations of Patterns for Self-adaptive Systems},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={190-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004925001900200},
isbn={978-989-758-015-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Agent-based Simulations of Patterns for Self-adaptive Systems
SN - 978-989-758-015-4
AU - Puviani M.
AU - Cabri G.
AU - Zambonelli F.
PY - 2014
SP - 190
EP - 200
DO - 10.5220/0004925001900200