Adapting a system with noisy outputs with statistical guarantees
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10389005" target="_blank" >RIV/00216208:11320/18:10389005 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1145/3194133.3194152" target="_blank" >https://doi.org/10.1145/3194133.3194152</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3194133.3194152" target="_blank" >10.1145/3194133.3194152</a>
Alternative languages
Result language
angličtina
Original language name
Adapting a system with noisy outputs with statistical guarantees
Original language description
Many complex systems are intrinsically stochastic in their behavior which complicates their control and optimization. Current self-adaptation and self-optimization approaches are not tailored to systems that have (i) complex internal behavior that is unrealistic to model explicitly, (ii) noisy outputs, (iii) high cost of bad adaptation decisions, i.e. systems that are both hard and risky to adapt at runtime. In response, we propose to model the system to be adapted as black box and apply state-of-the-art optimization techniques combined with statistical guarantees. Our main contribution is a framework that combines runtime optimization with guarantees obtained from statistical testing and with a method for handling cost of bad adaptation decisions. We evaluate the feasibility of our approach by applying it on an existing traffic navigation self-adaptation exemplar.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LTE117003" target="_blank" >LTE117003: ESTABLISH - Environmental Sensing To Act for a Better quality of LIfe: Smart Health</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ACM/IEEE 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
ISBN
978-1-4503-5715-9
ISSN
0270-5257
e-ISSN
neuvedeno
Number of pages
11
Pages from-to
58-68
Publisher name
ACM
Place of publication
USA
Event location
Gothenburg, Sweden
Event date
May 28, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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