Anomaly Detection and Resolution on the Edge: Solutions and Future Directions

Anomaly detection and resolution are crucial in edge clouds to ensure that distributed systems operate reliably and securely. This survey presents a comprehensive overview of anomaly detection and resolution strategies specifically designed for edge cloud environments, exploring their strengths, limitations, and applicability in different scenarios. It explores the unique challenges and characteristics of edge cloud systems, providing an in-depth analysis of existing works and tools. Evaluation metrics and datasets used by different methods are examined to provide insights into assessing the performance and efficacy of anomaly detection and resolution approaches. The paper concludes by identifying open challenges, future research directions, and offering practical recommendations, making it a valuable resource for researchers and practitioners involved in enhancing the reliability and security of edge cloud systems.