Patents by Inventor Rongyu He

Rongyu He 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: 11188382
    Abstract: The invention provides a cloud computing task allocation method and device, an apparatus, and a storage medium. The method comprises: when a cloud task allocation request is received, constructing a cloud task allocation model according to a to-be-allocated cloud computing task in the cloud task allocation request; optimizing cloud computing task allocation for a first preset number of times through the cloud task allocation model and an ant colony algorithm to generate the first preset number of intermediate allocation paths; evolving the intermediate allocation paths for a second preset number of times through a genetic algorithm to generate an optimum allocation path of the cloud computing task; and allocating the cloud computing task to a virtual machine in a cloud environment according to the optimum allocation path, so that the performance of the cloud computing task allocation is effectively improved.
    Type: Grant
    Filed: January 17, 2020
    Date of Patent: November 30, 2021
    Assignees: SHENZHEN UNIVERSITY, HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN GRADUATE SCHOOL
    Inventors: Yong Zhang, Linlin Tang, Dongning Zhao, Rongyu He, Changyin Liang, Qinghao Zeng
  • Publication number: 20200201677
    Abstract: The invention provides a cloud computing task allocation method and device, an apparatus, and a storage medium. The method comprises: when a cloud task allocation request is received, constructing a cloud task allocation model according to a to-be-allocated cloud computing task in the cloud task allocation request; optimizing cloud computing task allocation for a first preset number of times through the cloud task allocation model and an ant colony algorithm to generate the first preset number of intermediate allocation paths; evolving the intermediate allocation paths for a second preset number of times through a genetic algorithm to generate an optimum allocation path of the cloud computing task; and allocating the cloud computing task to a virtual machine in a cloud environment according to the optimum allocation path, so that the performance of the cloud computing task allocation is effectively improved.
    Type: Application
    Filed: January 17, 2020
    Publication date: June 25, 2020
    Inventors: Yong Zhang, Linlin Tang, Dongning Zhao, Rongyu He, Changyin Liang, Qinghao Zeng