Reliability-driven dynamic binding via feedback control
(2012) 2012 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) p.43-52- Abstract
- We are concerned with software that can self-adapt to satisfy certain reliability requirements, in spite of adverse changes affecting the environment in which it is embedded. Self-adapting software architectures are heavily based on dynamic binding. The bindings among components are dynamically set as the conditions that require a self-adaptation are discovered during the system's lifetime. By adopting a suitable modeling approach, the dynamic binding problem can be formulated as a discrete-time feedback control problem, and solved with very simple techniques based on linear blocks. Doing so, reliability objectives are in turn formulated as set point tracking ones in the presence of disturbances, and attained without the need for... (More)
- We are concerned with software that can self-adapt to satisfy certain reliability requirements, in spite of adverse changes affecting the environment in which it is embedded. Self-adapting software architectures are heavily based on dynamic binding. The bindings among components are dynamically set as the conditions that require a self-adaptation are discovered during the system's lifetime. By adopting a suitable modeling approach, the dynamic binding problem can be formulated as a discrete-time feedback control problem, and solved with very simple techniques based on linear blocks. Doing so, reliability objectives are in turn formulated as set point tracking ones in the presence of disturbances, and attained without the need for optimization. At design time, the proposed formulation has the advantage of naturally providing system sizing clues, while at operation time, the inherent computational simplicity of the obtained controllers results in a low overhead. Finally, the formulation allows for a rigorous assessment of the achieved results in both nominal and off-design conditions for any desired operation point. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2365792
- author
- Filieri, Antonio ; Ghezzi, Carlo ; Leva, Alberto and Maggio, Martina LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- dynamic binding, discrete-time feedback control, reliability requirements, self-adaptive software
- host publication
- 2012 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
- editor
- Müller, Hausi and Baresi, Luciano
- pages
- 43 - 52
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2012 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
- conference location
- Zürich, Switzerland
- conference dates
- 2012-06-04 - 2012-06-05
- external identifiers
-
- scopus:84865149776
- ISBN
- 978-1-4673-1788-7
- DOI
- 10.1109/SEAMS.2012.6224390
- language
- English
- LU publication?
- yes
- additional info
- The paper was accepted for publication in the 7th International Symposium on Software Engineering for Adaptive and Self-Managing Systems. key=fili_etal2012
- id
- 780a3026-7323-4413-8d66-6ea5353431f7 (old id 2365792)
- date added to LUP
- 2016-04-04 10:34:00
- date last changed
- 2022-02-13 19:56:18
@inproceedings{780a3026-7323-4413-8d66-6ea5353431f7,
abstract = {{We are concerned with software that can self-adapt to satisfy certain reliability requirements, in spite of adverse changes affecting the environment in which it is embedded. Self-adapting software architectures are heavily based on dynamic binding. The bindings among components are dynamically set as the conditions that require a self-adaptation are discovered during the system's lifetime. By adopting a suitable modeling approach, the dynamic binding problem can be formulated as a discrete-time feedback control problem, and solved with very simple techniques based on linear blocks. Doing so, reliability objectives are in turn formulated as set point tracking ones in the presence of disturbances, and attained without the need for optimization. At design time, the proposed formulation has the advantage of naturally providing system sizing clues, while at operation time, the inherent computational simplicity of the obtained controllers results in a low overhead. Finally, the formulation allows for a rigorous assessment of the achieved results in both nominal and off-design conditions for any desired operation point.}},
author = {{Filieri, Antonio and Ghezzi, Carlo and Leva, Alberto and Maggio, Martina}},
booktitle = {{2012 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)}},
editor = {{Müller, Hausi and Baresi, Luciano}},
isbn = {{978-1-4673-1788-7}},
keywords = {{dynamic binding; discrete-time feedback control; reliability requirements; self-adaptive software}},
language = {{eng}},
pages = {{43--52}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Reliability-driven dynamic binding via feedback control}},
url = {{http://dx.doi.org/10.1109/SEAMS.2012.6224390}},
doi = {{10.1109/SEAMS.2012.6224390}},
year = {{2012}},
}