Fenglin Zheng

Papers

Total Citations

H-Index

About

Fenglin Zheng is a researcher whose work sits at the critical intersection of big data, fog computing, and the Internet of Things (IoT). His most-cited paper, "Design and Application of Fog Computing Model Based on Big Data" (2019, 4 citations), tackles a pressing challenge in modern computing: the inadequacy of traditional cloud models to handle the explosive growth of data from edge devices. Zheng’s contribution lies in proposing a fog computing framework that brings computation and storage closer to data sources, reducing latency and bandwidth strain. This work is foundational for enabling real-time IoT applications, from smart cities to industrial automation. Though his citation count is modest, his research addresses a pivotal bottleneck in distributed systems, offering a scalable solution for the data-heavy demands of the IoT era. Zheng’s focus on practical design and application makes his work particularly valuable for students and engineers seeking to understand the architectural shifts required for next-generation computing. His insights continue to inform discussions on how to balance cloud, fog, and edge resources in an increasingly connected world.