Asia-Pacific Network Operations and Management Symposium
Space Weather Data Management System and Monitoring in Decentralized Storage Environment
Yoga Andrian, Essaid Maryam, Kim Dae Yong, Soo Hoon Maeng, Hongtaek Ju,
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Indonesian National Institute of Aeronautics and Space (LAPAN) concerns to develop a system that provides actual information and prediction related to space weather activities called Space Weather Information and Forecast Services (SWIFtS). SWIFtS is supported by a data storage system that serves data near real-time. Because the data is collected on one single server and is served by a centralized model, problems emerge when the researchers need the server for data processing and making forecasts to update the content on the SWIFtS website. The system is incapable of providing the latest data when the server is down. Therefore, we propose a new system that utilizes the decentralized model for storing data using the Inter Planetary File System (IPFS). Our proposed method focuses on the background process, and its scheme will increase the data availability and throughput by spreading it into nodes through a peer-to-peer connection. Other unused resources would be useful and no single point of failure. For monitoring, we develop a real-time data flow from each node and information of status nodes. As our expected, performance shown that our proposed system has better throughput than the existing system.