발간년도 : [2022]
| 논문정보 |
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| 논문명(한글) |
[Vol.17, No.1] A Feature-based Cloud Modeling Method |
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| 논문투고자 |
Chee-Yang Song, Eun-Sook Cho |
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| 논문내용 |
The IT paradigm has evolved from web computing to cloud computing environment. Cloud service development has been mainly studied by object-oriented design method based on UML, but research by feature design method is weak. In order to improve the usability and reusability of feature-oriented cloud modeling, this paper proposes a meta-model-based feature cloud modeling method suitable for the characteristics of cloud computing services. To do this, the MDA-based hierarchical cloud-feature integration metamodel is established for how the elements of the cloud characteristics are expressed in the modeling elements of the feature. In terms of applying this integrated metamodel, we make a feature-oriented cloud modeling process from the requirements definition (CIM) phase to the analysis (PIM) and design (PSM) phase for cloud application development. The work activity in the development phase is defined to create a model by using the modeling elements and relationships of the formalized integrated meta-model. In terms of applying this process, case study is shown with the PDMCS system. This facilitates the design of a hierarchical cloud application using the feature cloud modeling method. In addition, by using a standardized feature-based meta-model and modeling process, it is possible to design a cloud service model that is easier and more clear. Moreover, the creation of a reusable cloud application model for each development stage by the MDA way can be further improved. |
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