I am a Ph.D. candidate in Emerging Parallel Computing Center (EPCC), the Department of Computer Science and Engineering, Shanghai Jiao Tong University. My supervisors are Prof. Minyi Guo and Prof. Hongzi Zhu. My research interests include resource scaling and task scheduling in stream computing and edge computing scenarios.
PhD candidate in Computer Science and Technology, 2018 - Present
Shanghai Jiao Tong University, Shanghai, China
BEng in Computer Science and Technology, 2014 - 2018
Northeastern University, Liaoning, China
Awards include:
In this paper, we propose AuTraScale, an automated and transfer learning auto-scaling solution, to determine the appropriate parallelism and resource allocation that meet the latency and throughput targets. AuTraScale uses Bayesian optimization to adapt to the complex relationship between resources and QoS, minimizing the impact of resource interference on the prediction accuracy, and a new metric that measures the performance of operators for accurate optimization. Even when the input data rate changes, it can quickly adjust the parallelism of each operator in response, with a transfer learning algorithm.