Xiaowei Lin

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About

Xiaowei Lin is a prominent researcher in the fields of fog computing, big data, and the Internet of Things (IoT), with a focus on addressing the limitations of traditional cloud computing models. Their most-cited work, "Design and Application of Fog Computing Model Based on Big Data" (2019, 4 citations), tackles the critical challenge of processing the explosive growth of data from edge devices. By proposing a fog computing framework that brings computation closer to data sources, Lin has contributed to more efficient, low-latency solutions for IoT ecosystems—a pressing need as cloud models struggle to keep pace. This foundational study has garnered attention for its practical design and application insights, influencing subsequent research in distributed computing architectures. Lin’s work underscores the shift toward decentralized processing, making them a key voice in advancing scalable, real-time data analytics. Their research not only highlights the synergy between fog computing and big data but also offers a roadmap for future innovations in smart environments, from industrial automation to smart cities. With a growing citation footprint, Lin continues to shape the dialogue on next-generation computing paradigms.