Cloud-native architecture portability framework validation and implementation using expert system

Daniel Olabanji, Tineke Fitch, Olumuyiwa Matthew

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Abstract

Using Artificial intelligence to solve semi- or ill-structured problems using an algorithm that deploys techno-scientific human experts approach (Expert System) is a widely used solution. Expert system (ES) provides a programmable methodology solution through instructions provided by intelligence based on human experts. The expert system was used in this study to validate the decision process of the cloud-native architecture portability framework. The cloud-native architecture portability framework is developed to support decision-makers in organizations in making the right decision on porting or migrating either legacy or cloud-based data or applications to cloud-native architecture. The framework, designed and developed from research and expert contributions, was implemented in an expert system to examine its validity. The framework was evaluated through data collected from questionnaires, and the findings show that most respondents agreed with the importance of the framework. Then the evaluated framework was then developed into an expert system to provide a clear path for the stakeholders and the task and user-centred view of the framework. The usability of the designed expert system through the use of the ES-BUILDER shell also shows the usefulness of artificial intelligence in decision-making and information presentation simplification through technology.
Original languageEnglish
JournalInternational Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)
Volume12
Issue number4
Publication statusPublished - 30 Apr 2023
Externally publishedYes

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