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Analysis Study Research Paper | Computer Science and Information Technology | India | Volume 11 Issue 12, December 2022 | Popularity: 4.5 / 10
Data Analysis of the Multimission Satellite Product Generation Pattern for Defining the Archival Policy in the Data Centre
C. Pradeep, Gaurav Gupta, Murali Krishna, G. Prasad
Abstract: The heterogeneous data centre at NRSC is involved in the data acquisition and archival of satellite data from multiple missions for data processing and dissemination. Areas of interest data request from users are specific to a spacecraft and sensor and for a specific application. Thus there will be numerous requests of different kinds to be handled at the data centre. The proposed data analysis enables effective data search, selection and processing from within very voluminous and constantly updated data archives in the Storage Area Network. Analysing and understanding the user requirements and trends received from the extracted data stored in the user order archives database is the basis for determining the archival policy. The user data requests may correspond to any date starting from the launch of the spacecraft which has direct impact on IT infrastructure resource utilization. The information feed is then validated to discover the trends of data requests that are being handled on a daily basis. The administratively modifiable pre-defined storage and archive policies of the SAN have been fine tuned to retain the relevant datasets in the active storage of the hierarchical storage infrastructure. This analysis framework is more curated to emphasis on the Product Generation TAT, Quality of Service and resource optimization and management. This paper describes the system improvement achieved with the user order data analysis system developed at National Remote Sensing centre, ISRO.
Keywords: HSM, IMGEOS, SAN, NRSC, UOPS, TAT
Edition: Volume 11 Issue 12, December 2022
Pages: 278 - 282
DOI: https://www.doi.org/10.21275/SR221205124319
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