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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

Next generation cloud and edge computing architectures for Real-Time Space Data Processing and Analytics

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  • Next generation cloud and edge computing architectures for Real-Time Space Data Processing and Analytics

Abdulquadir Babawale Aderinto *

Department of Computer Science, The College of Saint Rose, Albany, NY, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 25(03), 152-170

Article DOI: 10.30574/wjarr.2025.25.3.0697

DOI url: https://doi.org/10.30574/wjarr.2025.25.3.0697

Received on 27 January 2025; revised on 01 March 2025; accepted on 03 March 2025

The rapid expansion of space exploration, satellite-based Earth observation, and interplanetary missions necessitates advanced computing architectures capable of handling massive, real-time data streams. Traditional centralized cloud computing models face significant challenges in terms of latency, bandwidth constraints, and reliability, especially for deep-space missions and large-scale satellite constellations. This study explores next-generation cloud and edge computing architectures designed to optimize real-time space data processing and analytics. By leveraging edge computing at satellite nodes and ground stations, data preprocessing, anomaly detection, and decision-making can occur closer to the source, reducing transmission delays and minimizing dependency on Earth-based infrastructure. Emerging technologies such as AI-driven edge inference, federated learning, and containerized microservices enhance computational efficiency and security in distributed space systems. Hybrid cloud-edge frameworks, integrating spaceborne data centers with terrestrial high-performance computing (HPC) facilities, offer scalability and adaptability for mission-critical applications. The implementation of 5G and future 6G-enabled space communication networks further accelerates real-time data exchange and collaborative processing between satellites and ground stations. Additionally, decentralized architectures using blockchain technology ensure data integrity and security, particularly for multi-tenant satellite networks and space commerce operations. Quantum computing advancements hold promise for accelerating complex data analytics tasks such as gravitational modeling and deep-space signal processing. This paper presents a comprehensive framework combining cloud and edge computing paradigms to enable autonomous decision-making, rapid situational awareness, and enhanced mission resilience. As space activities become increasingly data-intensive, deploying intelligent, adaptive computing infrastructures is crucial for ensuring the success of future space exploration and satellite applications.

Cloud-Edge Computing for Space; AI-Driven Edge Processing; 5G/6G Space Communications; Federated Learning in Space Systems; Blockchain for Space Data Security; Quantum Computing for Space Analytics

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-0697.pdf

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Abdulquadir Babawale Aderinto. Next generation cloud and edge computing architectures for Real-Time Space Data Processing and Analytics. World Journal of Advanced Research and Reviews, 2025, 25(03), 152-170. Article DOI: https://doi.org/10.30574/wjarr.2025.25.3.0697.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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