Applications of the Osprey Optimization Algorithm in Distributed Systems: A Systematic Review
Subject Areas : New technologies in distributed systems and algorithmic computingSaber Pahlavan 1 , Aliakbar Neghabi 2 *
1 - Department of Computer Engineering and Information Technology, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran
2 - Department of Computer Engineering and Information Technology, Sab.C., Islamic Azad University, Sabzevar, Iran
Keywords: Osprey Optimization Algorithm (OOA), Internet of Things (IoT), Meta-Heuristic Algorithms, Distributed Systems, Optimization,
Abstract :
The Osprey Optimization Algorithm (OOA), an emerging metaheuristic method, has recently gained significant attention in the field of distributed systems. Inspired by the predatory behavior of ospreys, the algorithm exhibits a strong capability to balance global exploration with local exploitation, thereby offering effective solutions for complex and multi-objective optimization problems. Over the past decade, distributed systems have become the backbone of modern technologies, enabling seamless cooperation among geographically dispersed components and supporting large-scale data processing and management. This article studies research on OOA applications in distributed systems. Nineteen selected studies were analyzed, covering domains such as the Internet of Things, cloud and fog computing, smart grids, microgrids, wireless sensor networks, and smart healthcare systems. The findings reveal that OOA can significantly reduce energy consumption, improve resource allocation, enhance data security, and increase the efficiency and resilience of distributed systems. Nevertheless, challenges remain, including computational complexity, sensitivity to parameter tuning, and the lack of real-world experimental validations. The results of this review highlight promising avenues for developing enhanced variants of the algorithm and extending its deployment in practical operational environments.
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