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Securing Multi-Cloud Architectures: A Machine Learning Perspective

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  • Sundeep Reddy Mamidi

Abstract

Multi-cloud computing, the utilization of multiple cloud computing services in a single heterogeneous architecture, has gained significant traction in recent years due to its potential for enhancing flexibility, resilience, and performance. This paper provides an overview of multi-cloud computing, exploring its key concepts, advantages, challenges, and best practices. It examines the motivations behind adopting multi-cloud strategies, the various deployment models, management approaches, and emerging trends. Additionally, the paper discusses the implications of multi-cloud computing for security, interoperability, and vendor lock-in. Through a comprehensive analysis, this paper aims to offer insights into the complexities and opportunities associated with multi-cloud environments.

Suggested Citation

  • Sundeep Reddy Mamidi, 2024. "Securing Multi-Cloud Architectures: A Machine Learning Perspective," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 233-247.
    • Handle: RePEc:das:njaigs:v:2:y:2024:i:1:p:233-247:id:160
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