Minxian Xu

Papers

Total Citations

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About

Dr. Minxian Xu is a leading researcher in cloud computing, specializing in resource management, microservices scaling, and reinforcement learning-driven optimization. Her most-cited work, "CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning" (2022, 62 citations), addresses the critical challenge of efficiently scaling lightweight, fine-grained microservices in cloud environments—a shift from traditional monolithic applications. This contribution provides a novel, multifaceted scaling framework that leverages reinforcement learning to dynamically allocate resources, improving performance and reducing execution time. Dr. Xu’s research has significant implications for modern cloud architectures, enabling more responsive and cost-effective services. Her work is widely recognized, with her papers accumulating hundreds of citations, reflecting its impact on both academia and industry. By tackling the complexities of microservices orchestration, Dr. Xu has established herself as a key innovator in cloud resource optimization, making her research essential for students and practitioners seeking to advance scalable, intelligent cloud systems.