Juanjuan Zhao

Papers

Total Citations

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About

Juanjuan Zhao is a leading researcher in cloud computing and microservice performance optimization, with a particular focus on resource scaling and reinforcement learning applications. Her most impactful work, "CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning" (2022, 62 citations), addresses critical challenges in modern cloud environments by introducing a novel approach to scaling microservices—lightweight, fine-grained applications that demand rapid execution. This paper has become a cornerstone for researchers tackling the performance bottlenecks of transitioning from monolithic to microservice architectures. Zhao's contributions are pivotal in advancing efficient resource management, enabling cloud systems to dynamically adapt to workload fluctuations. Her work has garnered significant attention, with citations reflecting its influence on both academic research and practical cloud infrastructure design. By integrating reinforcement learning into scaling strategies, Zhao has opened new avenues for autonomous, intelligent cloud operations, making her a key figure in the evolution of next-generation computing systems.