Three hierarchical levels of big-data market model over multiple data sources for internet of things = 세 계층으로 나뉘어진 빅데이터 마켓 모델

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This paper proposes three hierarchical levels of a competitive big-data market model. We consider that a service provider gathers data from multiple data sources and provides valuable information from refined data as a service to its customers. Under our approach, a service provider determines optimal data procurement from multiple data sources within its budget constraint. The multiple data sources follow the service provider's action by independently submitting bidding prices to the service provider. Further, customers decide whether to subscribe or not based on the subscription fee, their willingness-to-pay, and the quality of the refined data. We study the economic benefits of such a market model by analyzing the hierarchical decision making procedures as a two-stage monopsony game. We show the existence and the uniqueness of the Nash equilibrium (NE), and the NE solution is given as a closed form. Finally, we reveal that the obtained unique equilibrium solution maximizes the payoff of all market participants.
Advisors
Hahn, Sang-Geunresearcher한상근researcher
Description
한국과학기술원 :수리과학과,
Publisher
한국과학기술원
Issue Date
2019
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 수리과학과, 2019.2,[iii, 30 p. :]

Keywords

Data market▼ainternet of things▼amonopsony▼aindustrial informatic▼aoptimization▼aKKT algoritihm; 데이터 마켓▼a사물인터넷▼a게임 이론▼a수요독점 관계▼a최적화문제▼aKKT 알고리즘

URI
http://hdl.handle.net/10203/264951
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=842147&flag=dissertation
Appears in Collection
MA-Theses_Ph.D.(박사논문)
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