<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Self-adaptable system concerns on service adaptation whenever errors persist within the system. Changes in contextual information such as networks or sensors will affect the system’s effectiveness because the service adaptation process is not comprehensively handled in those contexts. Besides, the correctness to get the most equivalence services to be substituted is limitedly being addressed from previous works. A dynamic service adaptation framework is introduced to monitor and run a reasoning control to solve these issues. Hence, this paper presents a case study to proof the dynamic service adaptation framework that leverages on semantic-based approach in a context-aware environment. The evaluation of the case study resulted in a significant difference for the effectiveness at a 95% confidence level, which can be interpreted to confirm that the framework is promising to be used in operating dynamic adaptation process in a pervasive environment.</p>
</abstract>

Self-adaptable system concerns on service adaptation whenever errors persist within the system. Changes in contextual information such as networks or sensors will affect the system’s effectiveness because the service adaptation process is not comprehensively handled in those contexts. Besides, the correctness to get the most equivalence services to be substituted is limitedly being addressed from previous works. A dynamic service adaptation framework is introduced to monitor and run a reasoning control to solve these issues. Hence, this paper presents a case study to proof the dynamic service adaptation framework that leverages on semantic-based approach in a context-aware environment. The evaluation of the case study resulted in a significant difference for the effectiveness at a 95% confidence level, which can be interpreted to confirm that the framework is promising to be used in operating dynamic adaptation process in a pervasive environment.

Semantic-Based Dynamic Service Adaptation in Context-Aware Mobile Cloud Learning

Dept. of Software Engineering and Information System

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Semantic-Based Dynamic Service Adaptation in Context-Aware Mobile Cloud Learning"}

Self-adaptable system concerns on service adaptation whenever errors persist within the system. Changes in contextual information such as networks or sensors...

Semantic-Based Dynamic Service Adaptation in Context-Aware Mobile Cloud Learning

Online veröffentlicht: 22. Sept. 2022

Seitenbereich: 93 - 110

Eingereicht: 15. Feb. 2022

Akzeptiert: 02. Aug. 2022

DOI: https://doi.org/10.2478/cait-2022-0030

Schlüsselwörter
Semantic-based, dynamic service adaptation, context-aware

© 2022 S. Muhamad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Semantic-Based Dynamic Service Adaptation in Context-Aware Mobile Cloud Learning

Online veröffentlicht: 22. Sept. 2022

Seitenbereich: 93 - 110

Eingereicht: 15. Feb. 2022

Akzeptiert: 02. Aug. 2022

DOI: https://doi.org/10.2478/cait-2022-0030

SchlüsselwörterSemantic-based, dynamic service adaptation, context-aware

© 2022 S. Muhamad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Semantic-based, dynamic service adaptation, context-aware