Thesis Details

Generic Decentralized Self-Adaptive Context-Aware Architecture Model

Ph.D. Thesis Student: Kazzaz M. Mohanned Academic Year: 2019/2020 Supervisor: Zendulka Jaroslav, doc. Ing., CSc.
Czech title
Generic Decentralized Self-Adaptive Context-Aware Architecture Model
Language
English
Abstract

The evolution in information system continuously raises demands for more efficient, effective and adaptive cooperation between system's components to cope with changes in the system and to guarantee its best performance. Two main approaches have been introduced to achieve these requirements. First, the self-adaptation approach which enables information system to adapt to the changes in context information of the system and its surrounding environment based on an adaptation strategy. Second, context-awareness approach which enables to monitor the context information and recognize those changes that can trigger the adaptation process.In this work we introduce a generic context-aware self-adaptive architecture model to support software system with adaptation functionalities that guarantee system's availability, operation conditions and performance. Moreover, we provide two real-life case studies as a proof-of-concept of the applicability and re-usability of our proposed adaptation approach.

Keywords

Self-adaptation, software architecture, context model, decentralized control, context awareness.

Department
Degree Programme
Computer Science and Engineering, Field of Study Computer Science and Engineering
Files
Status
defended
Date
27 February 2020
Citation
KAZZAZ, M.. Generic Decentralized Self-Adaptive Context-Aware Architecture Model. Brno, 2019. Ph.D. Thesis. Brno University of Technology, Faculty of Information Technology. 2020-02-27. Supervised by Zendulka Jaroslav. Available from: https://www.fit.vut.cz/study/phd-thesis/652/
BibTeX
@phdthesis{FITPT652,
    author = "Mohanned M. Kazzaz",
    type = "Ph.D. thesis",
    title = "Generic Decentralized Self-Adaptive Context-Aware Architecture Model",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/phd-thesis/652/"
}
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