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Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/136099
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| Title: | Optimization of ICT Common Wealth Planning and Sharing based on Organic Economic Ecology and Theory of Knowledge Value Transformation ~ on case of open collaboration Framework |
| Authors: | 姜國輝
Chiang, Johannes K. |
| Contributors: | 資管系 |
| Date: | 2021-03 |
| Issue Date: | 2021-07-21 |
| Abstract: | Since the advent of open science, ICT resources become the common wealth. For the common wealth planning and sharing, the author has carried out HyQVIS (Hyper Quality and Value of ICT Systematics). Then, the author further carried out the Theory of the Knowledge Value Transformation. According to the theory, the task of resource planning and sharing is to optimize the behaviour of the organic ecosystem after appropriate laws. This research applies Pareto Optimality as the optimization method for planning and sharing the resources and further use Pareto Frontier to improve the efficiency. In order to realize Pareto Frontier with scientific base, this research adopts ISO 25000 to define the metrological metrics for the features derived from Pareto Frontier. Based on this theoretical baseline, this research conducts a case study of open collaboration framework with respect to API and Platform Economy. This research applies further the Shapley value with consideration of inclusive economy to enhance the cooperative competition strategy. For this purpose, comprehensive factors influencing the Organic Ecosystem are considered. On top of these consideration, different organization structures of the ecosystems are constructed. The complexity, including efficiency and risk, availability and value are analysed. The result shows, “open” is the best consensus for optimization of the ecosystem, and the federated cloud is most efficient as well as less of complexity and costs, less of risks. Federated Cloud becomes the next edge of the Infrastructure of collaboration framework in the API and Platform Economy. |
| Relation: | PoS, pp.1-18, International Symposium on Grids & Clouds 2020, ISGC2021 |
| Data Type: | conference |
| Appears in Collections: | [資訊管理學系] 會議論文
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