UPM Institutional Repository

Semantic-based dynamic service adaptation in context-aware mobile cloud learning


Citation

Muhamad, S. and Admodisastro, N. and Osman, H. and Ali, N. M. (2022) Semantic-based dynamic service adaptation in context-aware mobile cloud learning. Cybernetics and Information Technologies, 22 (3). pp. 93-110. ISSN 1314-4081

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.


Download File

Full text not available from this repository.
Official URL or Download Paper: https://sciendo.com/article/10.2478/cait-2022-0030

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.2478/cait-2022-0030
Publisher: Walter de Gruyter GmbH
Keywords: Context-aware; Dynamic service adaptation; Semantic-based
Depositing User: Mr. Mohamad Syahrul Nizam Md Ishak
Date Deposited: 28 Jun 2024 09:31
Last Modified: 28 Jun 2024 09:31
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.2478/cait-2022-0030
URI: http://psasir.upm.edu.my/id/eprint/103164
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item