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A Model-Based Approach for Self-Healing and Self-Configuration in Component-Based Software Systems

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dc.contributor.advisor Gomaa, Hassan
dc.contributor.author Albassam, Emad
dc.creator Albassam, Emad
dc.date.accessioned 2018-10-22T01:21:17Z
dc.date.available 2018-10-22T01:21:17Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/1920/11306
dc.description.abstract Component-based software architectures (CBSAs) are a well-known approach for building increasingly complex software systems from components that are intended to be distributed and autonomic. However, CBSAs often run in environments that are evolving and subject to failures. As a result, it is highly desirable to design CBSAs with self-configuration and self-healing capabilities so that they can dynamically adapt and recover in response to changing environments and failures, where the goal is to minimize manual intervention involved in managing and evolving these architectures. However, the systematic integration of the self-healing and self-configuration properties remains a challenge. Furthermore, although there exist a large body of literature in the areas of self-healing and self-configuration, most of them use a centralized approach. The main challenge with decentralized approaches is carrying out dynamic adaptation and recovery using partial knowledge of the system.
dc.format.extent 277 pages
dc.language.iso en
dc.rights Copyright 2017 Emad Albassam
dc.subject Information technology en_US
dc.subject Autonomic Computing en_US
dc.subject MAPE-K Loop Model en_US
dc.subject Recovery and Adaptation Connectors en_US
dc.subject Self-Adaptation en_US
dc.subject Self-Configuration en_US
dc.subject Self-Healing en_US
dc.title A Model-Based Approach for Self-Healing and Self-Configuration in Component-Based Software Systems
dc.type Dissertation
thesis.degree.level Ph.D.
thesis.degree.discipline Computer Science
thesis.degree.grantor George Mason University


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