Technology industry is experiencing its dramatic changes in the amount of data that requires management and the place that such an asset are stored. Despite the exponential growth of information, business leaders are expecting agility in order to complete a lot of works much faster and less expensively using data. With the generalized spread of smart devices under this rapidly changing digital environment and subsequent spread of wireless Internet users and communication expenditure, the amount of data via wireless Internet worldwide is increasing rapidly at a faster rate every year. However, the communication environment cannot catch up with the demands of consumers for the super high-speed wireless Internet. Accordingly, this paper aims to look at the establishment of the cloud storage-based file system that can provide services to meet the needs of users in the cloud computing environment via wireless Internet and the examples of the establishment of such a system.

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National Institute of Environmental Research (NIER) has developed the Korean Reach File (KRF) for scientific and systematic analysis of variables related to water quality, pollutant sources and aquatic ecosystems in consideration of steam reach networks. The KRF provides a new framework for data production, storage, management and analysis for water related variables in relation to spatial characteristics, connections, and topologies of stream reaches. However, the current version of KRF (ver.2) has limited applicability because its nodes include not only the stream points based on topological characteristics but also those based on water quality monitoring stations, which may undermine its generality. In this study, a new version of KRF (ver.3) was designed and established to overcome the weak point of version 2. The version 3 is a generalization of the old KRF graphic data and it integrates the attribute data while separating it from the graphic data to minimize additional work that is needed for data association and search. We tested the KRF (ver.3) on actual cases and convenience and adaptability for each application was verified. Further research should focus on developing a database link model and real-world applications that are targeted to process event data.