Reinforcement Learning-Based Resource Optimization and Dynamic Policy Enforcement for SAP Cloud Enterprise Infrastructure
DOI:
https://doi.org/10.15662/IJARCST.2024.0706042Keywords:
Reinforcement Learning, SAP Cloud Infrastructure, Resource Optimization, Dynamic Policy Enforcement, Intelligent Resource Allocation, SAP S/4HANA, SAP Business Technology Platform, Cloud Computing, Workload Scheduling, Enterprise GovernanceAbstract
The increasing adoption of SAP cloud enterprise infrastructure has created significant challenges in resource utilization, workload management, operational efficiency, and infrastructure security. Traditional resource allocation mechanisms often depend on predefined thresholds and static administrative policies, which may not respond effectively to continuously changing enterprise workloads. This research proposes a reinforcement learning-based resource optimization and dynamic policy enforcement framework for SAP cloud enterprise infrastructure. The proposed approach integrates intelligent workload monitoring, predictive resource allocation, adaptive scheduling, and automated policy enforcement to improve infrastructure performance. A reinforcement learning agent continuously observes system parameters, including CPU utilization, memory consumption, storage requirements, network traffic, application response time, and workload execution patterns. Based on these observations, the agent learns optimal resource allocation strategies through a reward-driven decision-making process. Dynamic policy enforcement mechanisms ensure that resource allocation decisions comply with enterprise security requirements, service-level agreements, operational constraints, and governance policies. The framework is designed to support SAP S/4HANA, SAP Business Technology Platform, and hybrid cloud environments. A simulation-based evaluation methodology is proposed to examine resource utilization, response time, operational cost, policy compliance, and workload scheduling efficiency. The proposed framework aims to establish an intelligent, adaptive, and policy-aware infrastructure management architecture that improves the scalability, reliability, and operational resilience of enterprise SAP cloud environments.
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