Evolving Legacy Enterprise Systems with Microservices-Based Architecture in Cloud Environments
| dc.contributor.advisor | Xiaodong Liu, Zhiyuan Tan | |
| dc.contributor.author | SAFA HUSSAIN MOHAMMED HABIBULLAH | |
| dc.date | 2020 | |
| dc.date.accessioned | 2022-05-29T10:02:51Z | |
| dc.date.available | 2022-05-29T10:02:51Z | |
| dc.degree.department | Software Engineering | |
| dc.degree.grantor | School of Computing | |
| dc.description.abstract | The contributions of this thesis are to propose and validate an approach to the migration of a legacy system to a microservice-oriented architecture and Cloud based system. This approach is predicated on the creation and use of two sets of rules: a set of feature-driven microservice transformation rules and a set of feature-driven cloud migration rules. It is hypothesized that the correct interpretation of, and the appropriate adherence to, these rules will lead to the implementation of a new microservices-oriented and Cloud based system, which will replace the functionality of the legacy system, improve the QoS offered by this, in terms of non-functional requirements, and be far easier to modify in the future in order to cope with further functional and other requirements which may emerge. | |
| dc.identifier.uri | https://drepo.sdl.edu.sa/handle/20.500.14154/44139 | |
| dc.language.iso | en | |
| dc.title | Evolving Legacy Enterprise Systems with Microservices-Based Architecture in Cloud Environments | |
| sdl.thesis.level | Doctoral | |
| sdl.thesis.source | SACM - United Kingdom |
