Patents by Inventor Zhouwang Fu

Zhouwang Fu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10749812
    Abstract: The present invention relates to Data Center Network (DCN) flow scheduling scheme. It provides a dynamic scheduling algorithm and a hybrid of centralized and decentralized scheduling system to improve the performance of DCN and data parallel application. The scheduling system uses a central controller to collect the real-time bandwidth of each node, and schedule the priority as well as transmission rate of each network flow set combined by application context (Coflow [1]). The centralized scheduling avoids a sophisticated system design and hardware (switch) modification to comparing with full decentralized solutions. The combination of centralization and decentralization decreases the average completion time of Coflows, and eventually improve the performance of data parallel applications.
    Type: Grant
    Filed: June 21, 2016
    Date of Patent: August 18, 2020
    Assignee: SHANGHAI JIAO TONG UNIVERSITY
    Inventors: Zhouwang Fu, Tao Song, Haibing Guan, Zhengwei Qi, Ruhui Ma, Jianguo Yao
  • Publication number: 20190089645
    Abstract: The present invention relates to Data Center Network (DCN) flow scheduling scheme. It provides a dynamic scheduling algorithm and a hybrid of centralized and decentralized scheduling system to improve the performance of DCN and data parallel application. The scheduling system uses a central controller to collect the real-time bandwidth of each node, and schedule the priority as well as transmission rate of each network flow set combined by application context (Coflow [1]). The centralized scheduling avoids a sophisticated system design and hardware (switch) modification to comparing with full decentralized solutions. The combination of centralization and decentralization decreases the average completion time of Coflows, and eventually improve the performance of data parallel applications.
    Type: Application
    Filed: June 21, 2016
    Publication date: March 21, 2019
    Inventors: Zhouwang Fu, Tao Song, Haibing Guan, Zhengwei Qi, Ruhui Ma, Jianguo Yao