This inventor holds 1 USPTO granted patent. Top assignee: Shanghai Jiao Tong University. Active years: 2020.
Company Filing History:
Years Active: 2020
Title: Innovations by Zhouwang Fu in Data Center Network Scheduling
Introduction
Zhouwang Fu is an accomplished inventor based in Shanghai, China. He has made significant contributions to the field of data center networking, particularly in flow scheduling schemes. His innovative approach aims to enhance the performance of data parallel applications.
Latest Patents
Zhouwang Fu holds a patent for a "Dynamic network flows scheduling scheme in data center." This invention relates to a Data Center Network (DCN) flow scheduling scheme. It introduces a dynamic scheduling algorithm and a hybrid of centralized and decentralized scheduling systems to improve the performance of DCN and data parallel applications. The scheduling system utilizes a central controller to collect real-time bandwidth data from each node, allowing for the prioritization and transmission rate adjustment of each network flow set, which is combined by application context (Coflow). The centralized scheduling approach avoids the complexities of sophisticated system designs and hardware modifications compared to fully decentralized solutions. This combination of centralization and decentralization effectively reduces the average completion time of Coflows, ultimately enhancing the performance of data parallel applications.
Career Highlights
Zhouwang Fu is affiliated with Shanghai Jiaotong University, where he continues to contribute to research and innovation in his field. His work has garnered attention for its practical applications and effectiveness in improving data center operations.
Collaborations
Zhouwang Fu has collaborated with notable colleagues, including Tao Song and Haibing Guan, who share his commitment to advancing technology in data networking.
Conclusion
Zhouwang Fu's innovative contributions to data center network scheduling demonstrate his expertise and dedication to improving technology in this critical area. His patent reflects a significant advancement that can lead to enhanced performance in data parallel applications.