Autotuning control structures for reliability-driven dynamic binding
(2012) 51st IEEE Conference on Decision and Control, 2012 p.418-423- Abstract
- This paper explores a formally grounded ap- proach to solve the problem of dynamic binding in service- oriented software architecture. Dynamic binding is a widely adopted mean to automatically bind exposed software interfaces to actual implementations. The execution of an operation on one or another implementation, though providing the same result, could turn out in different quality of service, e.g. due to failure occurrence. Dynamic binding is thus of primary importance to achieve what in the Software Engineering domain is called “self- adaptiveness”, the capability to preserve a desired quality of service, if this is feasible. It is important to reach this goal also in the presence of environmental fluctuations – a route congestion... (More)
- This paper explores a formally grounded ap- proach to solve the problem of dynamic binding in service- oriented software architecture. Dynamic binding is a widely adopted mean to automatically bind exposed software interfaces to actual implementations. The execution of an operation on one or another implementation, though providing the same result, could turn out in different quality of service, e.g. due to failure occurrence. Dynamic binding is thus of primary importance to achieve what in the Software Engineering domain is called “self- adaptiveness”, the capability to preserve a desired quality of service, if this is feasible. It is important to reach this goal also in the presence of environmental fluctuations – a route congestion increase – or even abrupt variations – a server breakdown. A quite general dynamic binding problem is here reformulated as a discrete-time feedback control one, and the use of autotuning techniques is discussed, extending previous research, in a view to guaranteeing the desired quality of service without the need for computationally-intensive optimisations. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2863374
- 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
- host publication
- IEEE 51st Annual Conference on Decision and Control (CDC), 2012
- pages
- 418 - 423
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 51st IEEE Conference on Decision and Control, 2012
- conference location
- Maui, Hawaii, United States
- conference dates
- 2012-12-10 - 2012-12-13
- external identifiers
-
- scopus:84874254948
- ISSN
- 0743-1546
- ISBN
- 978-1-4673-2065-8
- DOI
- 10.1109/CDC.2012.6426402
- language
- English
- LU publication?
- yes
- id
- 58b3ab11-14be-4b69-91bf-f2961f10aab9 (old id 2863374)
- date added to LUP
- 2016-04-01 13:00:20
- date last changed
- 2022-03-29 05:00:57
@inproceedings{58b3ab11-14be-4b69-91bf-f2961f10aab9,
abstract = {{This paper explores a formally grounded ap- proach to solve the problem of dynamic binding in service- oriented software architecture. Dynamic binding is a widely adopted mean to automatically bind exposed software interfaces to actual implementations. The execution of an operation on one or another implementation, though providing the same result, could turn out in different quality of service, e.g. due to failure occurrence. Dynamic binding is thus of primary importance to achieve what in the Software Engineering domain is called “self- adaptiveness”, the capability to preserve a desired quality of service, if this is feasible. It is important to reach this goal also in the presence of environmental fluctuations – a route congestion increase – or even abrupt variations – a server breakdown. A quite general dynamic binding problem is here reformulated as a discrete-time feedback control one, and the use of autotuning techniques is discussed, extending previous research, in a view to guaranteeing the desired quality of service without the need for computationally-intensive optimisations.}},
author = {{Filieri, Antonio and Ghezzi, Carlo and Leva, Alberto and Maggio, Martina}},
booktitle = {{IEEE 51st Annual Conference on Decision and Control (CDC), 2012}},
isbn = {{978-1-4673-2065-8}},
issn = {{0743-1546}},
language = {{eng}},
pages = {{418--423}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Autotuning control structures for reliability-driven dynamic binding}},
url = {{http://dx.doi.org/10.1109/CDC.2012.6426402}},
doi = {{10.1109/CDC.2012.6426402}},
year = {{2012}},
}