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2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
ISSN: 2375-9356
ISBN: 978-1-4673-8795-8
pp: 513-516
Seungmin Lee , Information Architecture Labority, Dept. of Computer Science & Engineering Graduate School, Dankook University, Cheonan, South Korea
Young B. Park , Dept. of comp. SCI. & Eng., Dankook University, Seoul, South Korea
Soojin Park , Sogang Institute Advanced Technology, Sogang University, Seoul, South Korea
As new technologies such as IoT, Cloud Computing appeared, the paradigm shift of system operation is occurring. Many researches that see a system as a group of systems like IT Ecosystem is being going on according to the paradigm shift. In addition, the research of Self-adaptive software to fulfill the users' goal and expectation is progressed. The existing Self-adaptive Software proposes ways to control various environments for a system to adapt to the environment change. However, it does not propose ways to control the system in Assembly system environments. A meta model in the base of O-MaSE which changes the system operating according to the changing environment was proposed to solve this problem. This paper proposed optimum scheduling scenario of environmental change to verify the expandability of the proposed model, and verified the proposed scenario by applying it to the meta model.
Ecosystems, Software, Modeling, Roads, Adaptation models, Collaboration

Seungmin Lee, Y. B. Park and S. Park, "A case study of Self-adaptive Software in the dynamic reconfiguration of IT Ecosystem," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 513-516.
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