Hybrid Cloud Strategy Model for Cost-Optimized Deployment in Regulated Industries

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@article{1711335,
      author = {Nafiu Ikeoluwa Hammed, Theophilus Onyekachukwu Oshoba, Kabir Sholagberu Ahmed},
      title = {Hybrid Cloud Strategy Model for Cost-Optimized Deployment in Regulated Industries},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {3},
      number = {2},
      pages = {932-948},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711335.pdf},
      abstract = {The adoption of hybrid cloud architectures has emerged as a critical enabler for digital transformation in regulated industries, including finance, healthcare, and energy. These sectors face the dual challenge of achieving operational efficiency and cost optimization while ensuring strict adherence to regulatory and compliance standards such as GDPR, HIPAA, and PCI DSS. Traditional cloud strategies often struggle to balance these competing priorities, resulting in underutilized resources, elevated operational costs, and potential compliance risks. This study proposes a comprehensive hybrid cloud strategy model designed to optimize cost efficiency without compromising regulatory obligations. The model integrates workload classification and segmentation, enabling organizations to distinguish between regulated and non-regulated workloads and allocate them appropriately across private, public, and on-premises cloud environments. Cost optimization mechanisms, including auto-scaling, tiered storage, and reserved instances, are embedded to reduce operational expenditures while maximizing resource utilization. Security and compliance layers incorporate zero-trust access, end-to-end encryption, and policy-driven orchestration to maintain continuous adherence to industry standards. Interoperability and integration features ensure seamless communication between heterogeneous systems, while resilience and reliability measures, including redundancy and automated failover, guarantee high availability and operational continuity. A governance and monitoring framework underpins the model, leveraging AI-driven anomaly detection, real-time cost tracking, and comprehensive audit trails to facilitate proactive management and regulatory reporting. The strategic implications of this approach include enhanced operational efficiency, reduced total cost of ownership, improved trust and compliance, and the creation of a flexible infrastructure capable of supporting innovation and scalable workloads. By providing a structured methodology for cost-optimized hybrid cloud deployment, the model offers regulated industries a practical roadmap to align digital transformation initiatives with economic, operational, and compliance objectives, ultimately supporting sustainable, resilient, and secure cloud adoption.},
      keywords = {Hybrid Cloud, Strategy Model, Cost Optimization, Regulated Industries, Cloud Deployment, Compliance, Data Sovereignty, Workload Placement, Cloud Governance, Risk Management, Cloud Economics, Total Cost of Ownership (TCO), Capital Expenditure (CapEx), Operational Expenditure (OpEx), Cloud Bursting, Elastic Scalability},
      month = {August},
  }