Design of marine biodiversity information resource sharing system based on cloud computing
Song, Z. (2025). Design of marine biodiversity information resource sharing system based on cloud computing. Journal of Biotech Research 21: 40-50
In: Journal of Biotech Research. Bio Tech System: Edmond. ISSN 1944-3285, meer
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| Author keywords |
cloud computing; marine life; diversity; information resources; sharing; mesh block fusion |
| Abstract |
Marine biodiversity information resource sharing is a global cooperative mechanism to promote the conservation and sustainable use of marine life through the integration of data. Its main role is to enhance conservation capacity and address challenges such as climate change. Traditional methods of sharing marine biodiversity information resources have drawbacks including low sharing efficiency, low accuracy of resource recommendations, and low security factors. To increase the level of sharing, an optimal design of marine biodiversity information resource sharing system was carried out, and a design method of the system based on cloud computing technology was proposed. The framework of the system was given, and the data exchange module, access statistics module, query browsing module, and user management module were designed and analyzed. The results of the hardware design indicated that the most effective method for extracting statistical information features from marine biodiversity information resources was the use of cloud computing. Thus, an adaptive fusion cluster processing model could be built for marine biodiversity information resources. These could then be used for fuzzy planning and feature mining of marine biodiversity information resources when combined with the association statistical feature detection method. Moreover, by clustering marine biodiversity information resources in the database using the gridding block fusion method, it was possible to create an information storage center management database of marine biodiversity information resources. The results showed that, with this approach, there was a deeper level of marine biodiversity information sharing and better adaptive performance in resource sharing management. There was also better resource adaptive scheduling performance. Compared with the traditional methods, the resource sharing efficiency, safety factor, and information recommendation accuracy of this method were higher, which improved the level of marine biodiversity information resource sharing. |
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