Hybrid and Multi-Cloud Storage Strategies for SAP S/4HANA Migration: Architecture, Optimization, and Experimental Evaluation

Enterprise resource planning (ERP) software systems such as SAP S/4HANA may have problems with storage efficiency‚ latency‚ and data resilience when deployed in a public cloud? Hybrid and multi-cloud infrastructures allow organizations to utilize on-premise infrastructure on-site in combination with a distributed public cloud infrastructure for improved performance‚ cost‚ and regulatory compliance? This paper introduces a workload-aware storage framework for SAP S/4HANA migration across hybrid and multi-cloud environments? It proposes a three-level architecture for clever data-tiering based on the classification of access patterns‚ adaptive workload placement based on SLA constraints‚ and cross-cloud orchestration with multi-objective optimization of storage cost‚ access latency‚ and operational risk in SAP system migration? Evaluation with large-scale synthesized SAP workloads matching published transactional‚ analytical‚ and archival access patterns shows a reduction in storage cost by up to 34%‚ reduction in access latency by up to 28%‚ and a more reliable system under simulated provider failure patterns‚ compared to static single-cloud and hybrid baselines? We find that storage-layer optimization is an important and under-explored dimension of enterprise cloud transformation strategy?