A Review on Cloud Storage Management: Architectures, Security, Performance Analysis, and Future Directions

With more digital assets stored on business systems, IoT devices and online platforms, businesses need storage systems that accommodate growing amounts of data, are impervious to security risks and can accommodate their budgets. Cloud storage management systems have become a viable substitute by giving businesses a virtualized, internet-connected location for their data that can supplement their legacy on-premises storage array instead of completely replacing it. The papers review of cloud storage management will cover the following, the architectures and different layers used by cloud storage management systems, the most common cloud security threats and the steps being taken to stop them, methods for measuring performance in quantitative terms and A side-by-side comparison of leading providers like Amazon Web Services (AWS) S3, Microsoft Azure Blob Storage and Google Cloud Storage (GCS). Several different quantitative metrics for evaluating reliability, availability, efficiency, fault tolerance, replication and read/write speed are examined and five corresponding models can be viewed below. When discussing reliability and availability, there is no difference between the three cloud storage giants, when comparing their operational pros and cons, the biggest differences can be seen. Some of the problems that continue to occur when storing data in the cloud include, provider dependence, security risk exposure, lag and cost control. A look at AI-driven cloud storage management, distributed ledger (blockchain) storage audits, zero trust security and post-quantum encryption is discussed toward the end of the paper.