The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 01, 2024

Filed:

Apr. 28, 2023
Applicant:

Tsinghua University, Beijing, CN;

Inventors:

Yong Cui, Beijing, CN;

Zhiwen Liu, Beijing, CN;

Mowei Wang, Beijing, CN;

Assignee:

TSINGHUA UNIVERSITY, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/2413 (2023.01); G06F 40/216 (2020.01); G06Q 10/10 (2023.01); H04L 43/067 (2022.01); H04L 43/0882 (2022.01); H04L 43/16 (2022.01);
U.S. Cl.
CPC ...
G06F 18/24133 (2023.01); G06F 40/216 (2020.01); G06Q 10/10 (2013.01); H04L 43/067 (2013.01); H04L 43/0882 (2013.01); H04L 43/16 (2013.01);
Abstract

A method for generating traffic demand data of a data center network includes: acquiring traffic demand samples each including a source address, a destination address, a flow interval, and a flow size; acquiring a first interval number by performing equal-frequency binning discretization processing according to the flow interval and acquiring a second interval number by performing equal-frequency binning discretization processing according to the flow size; determining a traffic demand subset according to the source address and the destination address, and acquiring a first parameter matrix and a second parameter matrix by training a latent Dirichlet allocation probability topic model according to the traffic demand subset; and generating the traffic demand data according to the first interval number, the second interval number, the first parameter matrix, and the second parameter matrix.


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