International Journal of Advanced Studies in Computer Science and Engineering

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Cloud-Native Architecture Portability Framework Validation and Implementation Using Expert System


Affiliations
1 School of Computing, University of Portsmouth, United Kingdom
 

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.

Keywords

Expert System, Cloud Native Architecture, Cloud Computing, Validation, Artificial Intelligence.
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  • Cloud-Native Architecture Portability Framework Validation and Implementation Using Expert System

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Authors

Daniel Olabanji
School of Computing, University of Portsmouth, United Kingdom
Tineke Fitch
School of Computing, University of Portsmouth, United Kingdom
Olumuyiwa Matthew
School of Computing, University of Portsmouth, United Kingdom

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.

Keywords


Expert System, Cloud Native Architecture, Cloud Computing, Validation, Artificial Intelligence.

References