17978377. SIMULATION METHOD AND MODELING METHOD simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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SIMULATION METHOD AND MODELING METHOD

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Honguk Woo of Suwon-si (KR)

Seunghwan Jeong of Suwon-si (KR)

Jooyoung Park of Suwon-si (KR)

Youngseok Lee of Suwon-si (KR)

SIMULATION METHOD AND MODELING METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 17978377 titled 'SIMULATION METHOD AND MODELING METHOD

Simplified Explanation

The patent application describes a simulation method and a modeling method for predicting input/output (I/O) throughput in a user application. The method involves using a neural network to generate output information, including I/O processing rate and delay time, based on input information obtained from a user application's read request.

  • The method involves generating input information based on a user application's read request.
  • The input information is used as an input to a neural network.
  • The neural network generates output information, including I/O processing rate and delay time.
  • The output information provides predictions for the target I/O throughput demanded by the user application.

Potential Applications

  • This technology can be applied in various industries where I/O throughput prediction is crucial, such as data centers, cloud computing, and network optimization.
  • It can be used to optimize resource allocation and improve system performance in real-time applications.

Problems Solved

  • The technology solves the problem of accurately predicting I/O throughput demanded by user applications.
  • It addresses the challenge of efficiently allocating resources and optimizing system performance based on predicted I/O throughput.

Benefits

  • Accurate prediction of I/O throughput helps in optimizing resource allocation and improving system performance.
  • The use of neural networks allows for more accurate and efficient modeling of I/O processing rates and delay times.
  • Real-time predictions enable proactive resource management and system optimization.


Original Abstract Submitted

Provided are a simulation method and a modeling method. The simulation method includes generating input information regarding a target input/output (I/O) throughput demanded by the user application based on a read request received from a user application and generating output information including an I/O processing rate and a delay time through a neural network by using the input information as an input.

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