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Low-cost high performance distributed data storage for multi-channel observations
Affiliation:1. Computer Technology Application Key Lab of Yunnan Province, Kunming University of Science and Technology, Chenggong, Kunming 650500, China;2. Yunnan Observatories, Chinese Academy of Sciences, Kunming 650011, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;1. Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emilia, Via Campi 213/b, 41125 Modena, Italy;2. Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi, Università di Genova, Via Dodecaneso 35, 16145 Genova, Italy;3. Dipartimento di Matematica e Informatica, Università di Ferrara, Via Saragat 1, 44122 Ferrara, Italy;1. Center of Advanced Study, Department of Physics, Kumaun University, Nainital 263002, India;2. Aryabhatta Research Institute of Observational Sciences, Nainital 263002, India;3. Department of Physics, Hemwati Nandan Bahuguna Govt. P.G. College, Khatima 262308, Uttarakhand, India;1. Department of Biomedical Engineering, Isparta University of Applied Sciences, Isparta 32260, Turkey;2. Department of Chemical Engineering, Suleyman Demirel University, Isparta 32260, Turkey;3. Department of Environmental Engineering, Suleyman Demirel University, Isparta 32260, Turkey;1. Xinhua Hospital, MOE-Shanghai Key Laboratory of Children''s Environmental Health, Department of Child and Adolescent Healthcare, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China;2. Dalla Lana School of Public Health, University of Toronto, Ontario, Canada;3. Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI;4. Kravis Children''s Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY;5. Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY;6. Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI;7. National Institute of Perinatology, Mexico City, Mexico;8. Harvard Medical School, Harvard School of Public Health, Boston, MA;9. Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI;10. National Institute of Public Health, Cuernavaca, Morelos, Mexico;11. Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
Abstract:The New Vacuum Solar Telescope (NVST) is a 1-m solar telescope that aims to observe the fine structures in both the photosphere and the chromosphere of the Sun. The observational data acquired simultaneously from one channel for the chromosphere and two channels for the photosphere bring great challenges to the data storage of NVST. The multi-channel instruments of NVST, including scientific cameras and multi-band spectrometers, generate at least 3 terabytes data per day and require high access performance while storing massive short-exposure images. It is worth studying and implementing a storage system for NVST which would balance the data availability, access performance and the cost of development. In this paper, we build a distributed data storage system (DDSS) for NVST and then deeply evaluate the availability of real-time data storage on a distributed computing environment. The experimental results show that two factors, i.e., the number of concurrent read/write and the file size, are critically important for improving the performance of data access on a distributed environment. Referring to these two factors, three strategies for storing FITS files are presented and implemented to ensure the access performance of the DDSS under conditions of multi-host write and read simultaneously. The real applications of the DDSS proves that the system is capable of meeting the requirements of NVST real-time high performance observational data storage. Our study on the DDSS is the first attempt for modern astronomical telescope systems to store real-time observational data on a low-cost distributed system. The research results and corresponding techniques of the DDSS provide a new option for designing real-time massive astronomical data storage system and will be a reference for future astronomical data storage.
Keywords:Astronomical databases: miscellaneous  Methods: massive solar data storage  Techniques: high performance I/O
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