A Convex Optimization-Based Approach to Control of Uncertain Execution Platforms
(2010) 49th IEEE Conference on Decision and Control p.2322-2329- Abstract
- The problem of resource management in a sys- tem of a-priori unknown software components executing on nondeterministic hardware is considered. The approach uses on-line parameter estimation to address uncertainties and combines this with a convex optimization-based control scheme able to handle overload situations. An algorithm to solve the optimization in real-time is presented together with perfor- mance analysis through simulations. An implementation of the approach is experimentally compared with a static analysis scheme using worst case a-priori estimates. It is demonstrated that the presented approach outperforms the static scheme in situations with uncertainty and that the advantage increases as uncertainty grows.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1786766
- author
- Lindberg, Mikael LU
- organization
- publishing date
- 2010
- type
- Contribution to conference
- publication status
- published
- subject
- pages
- 2322 - 2329
- conference name
- 49th IEEE Conference on Decision and Control
- conference location
- Atlanta, Georgia, United States
- conference dates
- 2010-12-15
- external identifiers
-
- wos:000295049102108
- scopus:79953148903
- language
- English
- LU publication?
- yes
- id
- 4dd6cf7b-5429-4d7a-9e7e-8754440d6db6 (old id 1786766)
- date added to LUP
- 2016-04-04 13:50:46
- date last changed
- 2024-01-13 09:47:11
@misc{4dd6cf7b-5429-4d7a-9e7e-8754440d6db6,
abstract = {{The problem of resource management in a sys- tem of a-priori unknown software components executing on nondeterministic hardware is considered. The approach uses on-line parameter estimation to address uncertainties and combines this with a convex optimization-based control scheme able to handle overload situations. An algorithm to solve the optimization in real-time is presented together with perfor- mance analysis through simulations. An implementation of the approach is experimentally compared with a static analysis scheme using worst case a-priori estimates. It is demonstrated that the presented approach outperforms the static scheme in situations with uncertainty and that the advantage increases as uncertainty grows.}},
author = {{Lindberg, Mikael}},
language = {{eng}},
pages = {{2322--2329}},
title = {{A Convex Optimization-Based Approach to Control of Uncertain Execution Platforms}},
url = {{https://lup.lub.lu.se/search/files/6218909/8169000.pdf}},
year = {{2010}},
}