Data sovereignty frameworks for space-based data platforms
Gannon University, 109 University Square, Erie, PA 16541, USA.
Research Article
World Journal of Advanced Research and Reviews, 2024, 22(03), 653–664
Article DOI: 10.30574/wjarr.2024.22.3.1770
Publication history:
Received on 01 May 2024; revised on 09 June 2024; accepted on 11 June 2024
Abstract:
Despite widespread support, data sovereignty is still in its nascent stages. Consequently, current methods for transferring sovereign data are underdeveloped and could be enhanced. To address these issues, this paper introduces an architecture that utilizes edge computing resources to host both the data and the connector. Additionally, we develop a system based on this architecture, enabling the transfer of sovereign data between users using space-based data platforms. To assess our approach, we deploy our system in a real-world environment with users located in different countries and conduct various experiments. In order to generate representative outcomes, we conduct a total of 2,520 experiments. The results demonstrate significant performance improvements, such as reduced communication latency and increased network bandwidth, compared to a baseline utilizing cloud computing resources. We have constructed a system for sovereign data exchange that leverages edge computing resources to facilitate the transfer of data from a provider to a consumer. Furthermore, we have deployed this system in a real-world scenario and have demonstrated that the proposed approach offers reduced latency and increased bandwidth compared to a baseline relying on the cloud. Given the promising outcomes, we believe that future investigations could delve into usage control techniques that can be implemented at the network edge and explore scalability considerations.
Keywords:
Cloud Computing; Data Sovereignty; Edge Computing; Scalability; Space-Based Platforms.
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0