Optimizing Energy Industry E-Commerce Data Storage with Distributed File Systems and Cloud Computing
Keywords:
IoT data storage optimization, Distributed file system, Cloud computing technology, Load balancing strategyAbstract
This study explores the imperative of optimizing IoT data storage technology within the energy industry's e-commerce sector. Amidst the proliferation of Internet of Things (IoT) devices generating vast and sequential data, efficient management becomes pivotal to mitigate transmission inefficiencies and system failures. The research demonstrates significant system performance and reliability enhancements by leveraging distributed file systems and cloud computing. Key optimizations include data fragmentation, replication, and load-balancing strategies, improving data processing efficiency and bolstering fault tolerance. Experimental results indicate a 50% increase in file uploading efficiency post-optimization, affirming the efficacy of these technological advancements in meeting escalating demands for robust, scalable data solutions.
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Copyright (c) 2024 Alexander Heinrich Müller-Schmidt, Anna Maria Rossi, Mateo Bianchi
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