RT Journal Article
T1 Run-time Adaptation of Mobile Applications using Genetic Algorithms
A1 García Pascual, Gustavo
A1 Pinto-Alarcón, Mónica
A1 Fuentes-Fernández, Lidia
K1 Aplicaciones informáticas
K1 Informática móvil
AB Mobile applications run in environments where thecontext is continuously changing. Therefore, it is necessary toprovide support for the run-time adaptation of these applications.This support is usually achieved by middleware platforms thatoffer a context-aware dynamic reconfiguration service. However,the main shortcoming of existing approaches is that both the listof possible configurations and the plans to adapt the applicationto a new configuration are usually specified at design-time. Inthis paper we present an approach that allows the automaticgeneration at run-time of application configurations and ofreconfiguration plans. Moreover, the generated configurationsare optimal regarding the provided functionality and, moreimportantly, without exceeding the available resources (e.g. battery).This is performed by: (1) having the information aboutthe application variability available at runtime using featuremodels, and (2) using an genetic algorithm that allows generatingan optimal configuration at runtime. We have specified a casestudy and evaluated our approach, and the results show thatit is efficient enough as to be used on mobile devices withoutintroducing an excessive overhead.
PB IEEE Press
YR 2013
FD 2013
LK http://hdl.handle.net/10630/5603
UL http://hdl.handle.net/10630/5603
LA eng
NO Campus de Excelencia Andalucía Tech y Proyectos de investigación TIN2008-01942, P09-TIC-5231 y INTER-TRUST FP7-317731.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026