BS-GeoEduNet 1.0:区块链辅助地理空间教育信息网络无服务器框架

IF 2.8 3区 地球科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Meenakshi Kandpal, Veena Goswami, Yash Pritwani, Rabindra K. Barik, Manob Jyoti Saikia
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引用次数: 0

摘要

整合区块链支持的无服务器计算框架可提高计算和分析操作的性能,并在基于互联网的数据中心内提供服务,而不是依赖于独立的台式计算机。因此,在本研究论文中,实现了一个用于地理空间数据可视化的区块链辅助无服务器框架。拟议的 BS-GeoEduNet 1.0 框架利用 AWS Lambda 的无服务器计算功能,为数据存储、分析和分发提供了可靠、高效的解决方案。拟议框架结合了 AES 加密、解密层和队列实现,以实现处理较大文件的可扩展方法。它通过使用 Apache KAFKA,在文件处理的重型输入/输出过程中实现了队列机制,使系统能够高效处理大量数据。最后,本报告介绍了利用从 MongoDB 获取的数据,在拟议框架上实现所有地理空间功能 NIT/IIT 详情的可视化。实验结果验证了拟议系统的可靠性和效率,证明了其在地理空间数据存储和处理方面的功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BS-GeoEduNet 1.0: Blockchain-Assisted Serverless Framework for Geospatial Educational Information Networks
The integration of a blockchain-supported serverless computing framework enhances the performance of computational and analytical operations and the provision of services within internet-based data centers, rather than depending on independent desktop computers. Therefore, in the present research paper, a blockchain-assisted serverless framework for geospatial data visualizations is implemented. The proposed BS-GeoEduNet 1.0 framework leverages the capabilities of AWS Lambda for serverless computing, providing a reliable and efficient solution for data storage, analysis, and distribution. The proposed framework incorporates AES encryption, decryption layers, and queue implementation to achieve a scalable approach for handling larger files. It implements a queueing mechanism during the heavier input/output processes of file processing by using Apache KAFKA, enabling the system to handle large volumes of data efficiently. It concludes with the visualization of all geospatial-enabled NIT/IIT details on the proposed framework, which utilizes the data fetched from MongoDB. The experimental findings validate the reliability and efficiency of the proposed system, demonstrating its efficacy in geospatial data storage and processing.
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来源期刊
ISPRS International Journal of Geo-Information
ISPRS International Journal of Geo-Information GEOGRAPHY, PHYSICALREMOTE SENSING&nb-REMOTE SENSING
CiteScore
6.90
自引率
11.80%
发文量
520
审稿时长
19.87 days
期刊介绍: ISPRS International Journal of Geo-Information (ISSN 2220-9964) provides an advanced forum for the science and technology of geographic information. ISPRS International Journal of Geo-Information publishes regular research papers, reviews and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. The 2018 IJGI Outstanding Reviewer Award has been launched! This award acknowledge those who have generously dedicated their time to review manuscripts submitted to IJGI. See full details at http://www.mdpi.com/journal/ijgi/awards.
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