Abstract
In space science research, the Indonesia National Institute of Aeronautics and Space (LAPAN) is concerned with the development of a system that provides actual information and predictions called the Space Weather Information and Forecast Services (SWIFtS). SWIFtS is supported by a data storage system that serves data, implementing a centralized storage model. This has some problems that impact to researchers as the primary users. The single point of failure and also the delay in data updating on the server is a significant issue when researchers need the latest data, but the server is unable to provide it. To overcome these problems, we proposed a new system that utilized a decentralized model for storing data, leveraging the InterPlanetary File System (IPFS) file system. Our proposed method focused on the automated background process, and its scheme would increase the data availability and throughput by spreading it into nodes through a peer-to-peer connection. Moreover, we also included system monitoring for real-time data flow from each node and information of node status that combines active and passive approaches. For system evaluation, the experiment was performed to determine the performance of the proposed system compared to the existing system by calculating mean replication time and the mean throughput of a node. As expected, performance evaluations showed that our proposed scheme had faster file replication time and supported high throughput.
Highlights
With the increase of numerous research efforts related to the space environment, the advancements of space technology greatly influence human life in the current era
LAPAN (Indonesia National Institute of Aeronautics and Space) has an information system service that provides data, information, and forecasts related to space weather called Space Weather Information and Forecast Services (SWIFtS)
The building of scale-out network-attached storage (NAS) and the InterPlanetary File System (IPFS) to store an object spread through the Fog/Edge infrastructure has been proposed by Confais et al [18]
Summary
With the increase of numerous research efforts related to the space environment, the advancements of space technology greatly influence human life in the current era. SWIFtS researchers and forecasters conduct daily data analysis and processing to provide accurate information on the SWIFtS website for the user For this reason, the data availability from space weather observation instruments is continuously updated to maintain information. Decentralized storage can increase the percentage of data availability by spreading files to be stored on the hosts that are connected peer-to-peer This method, where each host can exchange files directly, as well as have roles as a client and server, would reduce user dependency on a single server. The IPFS provides a high data throughput with a content-addressed block storage model, requires no central server, and distributes and stores the data in spread locations [10,11]. A new system was proposed for data management using a decentralized storage model, leveraging the IPFS distributed system for storing and sharing the space weather observation data across the peer-to-peer network.
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