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International Journal Of Electrical, Electronics And Computers(IJEEC)

Designing Sustainable and Cost-Optimized Cloud Storage Models for Digital Transformation in Developing Economies

Saad Ahmed


International Journal of Electrical, Electronics and Computers (IJECC), Vol-10,Issue-6, November - December 2025, Pages 17-26, 10.22161/eec.106.3

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Article Info: Received: 03 Nov 2025; Accepted: 08 Dec 2025; Date of Publication: 14 Dec 2025

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In recent years, cloud computing has evolved from a novel technology into a cornerstone of digital transformation across diverse sectors, including government, business, education, and healthcare. For developing economies, cloud storage offers scalable, flexible, and cost-effective IT infrastructure without the ne ed for significant upfront investment in physical data centers. However, realizing these benefits in a sustainable and economically viable way requires careful design of cloud storage models that account for local infrastructure, technical capacity, regulatory frameworks, and energy availability. This study employed a mixed-methods approach combining qualitative interviews with cloud experts and ICT managers and quantitative simulations using CloudSim, iCanCloud, and GreenCloud. Key challenges identified include economic constraints, technical limitations, environmental sustainability, and governance gaps. Simulation results reveal that an optimized hybrid cloud model leveraging tiered storage, edge computing, and renewable energy significantly outperforms traditional on-premises and centralized cloud systems. The model achieved cost reductions of 28–41%, latency reductions of up to 58%, energy savings of 22–35%, and a 35% reduction in carbon footprint, while maintaining system availability above 99%. These findings underscore the potential of intelligent, hybrid cloud storage strategies to accelerate digital transformation in developing economies while balancing cost, performance, and environmental sustainability.

Hybrid Cloud Storage, Digital Transformation, Energy-Efficient Cloud Computing, CloudSim-Based Simulation, Sustainable IT Infrastructure

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