17978377. SIMULATION METHOD AND MODELING METHOD simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
SIMULATION METHOD AND MODELING METHOD
Organization Name
Inventor(s)
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.
