Edge AI and Cloud Security: Enabling Secure and Scalable DevOps for Edge Computing
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V3I1P107Keywords:
Edge Computing, Edge AI, Cloud Security, DevOps, Scalability, Security Frameworks, CI/CD, 5G, IoT, Autonomous VehiclesAbstract
Edge computing has emerged as a transformative technology, enabling low-latency, high-performance computing at the edge of networks, closer to the end-users. The integration of Artificial Intelligence (AI) at the edge, known as Edge AI, promises to revolutionize various industries, including autonomous vehicles, smart cities, and industrial Internet of Things (IoT). However, the widespread adoption of Edge AI faces several challenges, particularly in the areas of security, scalability, and performance. Cloud computing, which has long been a backbone for centralized data storage and processing, plays a crucial role in enhancing the security and scalability of edge-based systems. This paper explores the intersection of Edge AI, cloud security, and DevOps practices, which are critical for enabling secure and scalable deployment of Edge AI applications. Cloud security frameworks, including data encryption, authentication, and authorization mechanisms, are essential in mitigating the unique risks posed by decentralized edge environments. Moreover, DevOps methodologies offer the potential for continuous integration and deployment (CI/CD) of AI models at the edge, ensuring the rapid and secure delivery of updates and maintaining system performance. Despite these advancements, challenges such as network reliability, resource constraints, and secure DevOps pipelines persist. This paper also discusses emerging trends, such as the integration of 5G and AI-driven security solutions, which promise to further enhance the capabilities of Edge AI systems. The findings presented here aim to provide a comprehensive understanding of the current state of Edge AI, cloud security, and DevOps practices, and suggest potential areas for future research and development
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