Yujun Liao

Title: Yujun Liao: Innovator in Distributed Computing

Introduction

Yujun Liao is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of distributed computing, holding a total of 2 patents. His work focuses on improving task allocation methods and enhancing the efficiency of retransmission requests in computing systems.

Latest Patents

Yujun Liao's latest patents include a task allocation method and system. This method involves analyzing query patterns of target tasks to determine expected response times and system costs. It also estimates node costs for processing nodes in a computing system, allowing for efficient allocation of subtasks. Another notable patent is related to processing retransmission requests in distributed computing. This method identifies target copy partitions based on response time information, ensuring that retransmission requests are sent to the most efficient copy, thereby reducing overall response times and cluster loads.

Career Highlights

Yujun Liao is currently employed at Alibaba Group Holding Limited, where he continues to innovate in the realm of distributed computing. His work has been instrumental in advancing the efficiency of computing systems, making significant impacts in the industry.

Collaborations

Some of Yujun Liao's coworkers include Xiang Sean Zhou and Jiannan Ji. Their collaborative efforts contribute to the innovative environment at Alibaba Group.

Conclusion

Yujun Liao is a key figure in the field of distributed computing, with a focus on task allocation and retransmission efficiency. His patents reflect a commitment to enhancing technology and improving system performance.