Methods, apparatuses and computer program products for generating synthetic data

Patent metadata

Field	Value
Publication number	US-12511560-B2
Application number	US-202217701102-A
Country	US
Kind code	B2
Filing date	Mar 22, 2022
Priority date	Mar 22, 2022
Publication date	Dec 30, 2025
Grant date	Dec 30, 2025

Abstract

A system for generating simulated data is disclosed. The system may determine items of content utilized by a network. The system may also retrieve one or more data patterns associated with one or more features associated with the content. The system may also determine a plurality of indices associated with the data patterns. The system may also generate, based on the data patterns and the plurality of indices, simulated data associated with the content.

First claim

What is claimed:

1 . A method comprising:
determining items of content utilized by a network; retrieving one or more data patterns associated with one or more features associated with the content, the one or more data patterns including a number of indices; determining rare indices that appear less than threshold number of times in the indices; and generating, based on the data patterns and the indices, simulated data associated with the content, wherein the simulated data includes the rare indices, and wherein any remaining indices of the simulated data are generated using a Markov chain.

2 . The method of claim 1 , further comprising:
enabling usage of the simulated data to facilitate generation of at least one item of hardware or at least one application.

3 . The method of claim 1 , wherein the simulated data is associated with one or more characteristics associated with the content.

4 . The method of claim 1 , further comprising:
determining one or more memory access patterns based on the indices.

5 . The method of claim 1 , further comprising determining indices that appear greater than or equal to the threshold number of times in the indices.

6 . The method of claim 1 , wherein generating the simulated data comprises applying a random permutation associated with the rare indices and arranging the rare indices in a sequence.

7 . The method of claim 1 , wherein the simulated data includes a same number of indices as the one or more data patterns.

8 . A system comprising:
a device comprising one or more processors; and at least one memory storing instructions, that when executed by the one or more processors, cause the device to: determine items of content utilized by a network; retrieve one or more data patterns associated with one or more features associated with the content, the one or more data patterns including a number of indices; determining rare indices that appear less than threshold number of times in the indices; and generate, based on the data patterns and the indices, simulated data associated with the content, wherein the simulated data includes the rare indices, and wherein any remaining indices to fill the number of indices are generated using a Markov chain.

9 . The system of claim 8 , wherein when the one or more processors further execute the instructions, further causes the device to:
enable usage of the simulated data to facilitate generation of at least one item of hardware or at least one application.

10 . The system of claim 8 , wherein the simulated data is associated with one or more characteristics associated with the content.

11 . The system of claim 8 , wherein when the one or more processors further execute the instructions, further causes the device to:
determine one or more memory access patterns based on the indices.

12 . The system of claim 8 , wherein when the one or more processors further execute the instructions, further causes the device to determine indices that appear greater than or equal to the threshold number of times in the indices.

13 . A computer-readable medium storing instructions that, when executed, cause:
determining items of content utilized by a network; retrieving one or more data patterns associated with one or more features associated with the content, the one or more data patterns including a number of indices; determining rare indices that appear less than threshold number of times in the indices; and generating, based on the data patterns and the indices, simulated data associated with the content, wherein the simulated data includes the rare indices, and wherein any remaining indices to fill the number of indices are generated using a Markov chain.

14 . The computer-readable medium of claim 13 , wherein the instructions, when executed, further cause:
enabling usage of the simulated data to facilitate generation of at least one item of hardware or at least one application.

Assignees

• Meta Platforms Inc

Inventors

• Schatz Martin
• Vengertsev Dmitry
• Liu Yifan
• Arbisser Ilana Marisa
• Hao Yuchen
• Ozdal Muhammet Mustafa

Classifications

• G06N3/006

  based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO] · CPC title

• G06F18/295

  Markov models or related models, e.g. semi-Markov models; Markov random fields; Networks embedding Markov models · CPC title

• H04L43/16

  Threshold monitoring · CPC title

• H04L41/142

  using statistical or mathematical methods · CPC title

• H04L41/145

  involving simulating, designing, planning or modelling of a network · CPC title