Support for self-optimized organizational patterns in socio-driven elastic clouds
Faculty of Health, Engineering and Science
School of Computer and Security Science
Due to high complexity and heterogeneity of cloud environment, and this had interchangeably been imposed by a plethora of socially co-engineered cloud application architectures, designers are yet facing difficulties in choosing from approaches to model transformation between multiple domains solutions. In fact most of cloud based application development became hectic due to overwhelming number of layers which interrelate to significant application problem area. Such newly growing challenges had demanded to choose more cost effective ways of how to elicit efficient solutions that can articulate several types of requirements. Focusing on high level conceptual views; this paper introduces a new dynamic domain driven design method, which serves self-optimizing of socially interacted organizational patterns in cloud based environment. Such method helps to describe user aspects of tackled domains and problems to be solved rather than being concerned about choosing which program model should be used to satisfy features, goals and objectives for such software application.