Dell Products L.P. (20240265819). MACHINE LEARNING OPTIMIZED STORAGE SYSTEM SIMULATION IN A VIRTUAL ENVIRONMENT simplified abstract
Contents
MACHINE LEARNING OPTIMIZED STORAGE SYSTEM SIMULATION IN A VIRTUAL ENVIRONMENT
Organization Name
Inventor(s)
Shaul Dar of Petach Tikva (IL)
MACHINE LEARNING OPTIMIZED STORAGE SYSTEM SIMULATION IN A VIRTUAL ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240265819 titled 'MACHINE LEARNING OPTIMIZED STORAGE SYSTEM SIMULATION IN A VIRTUAL ENVIRONMENT
The patent application describes techniques for simulating a storage system in a virtual environment using machine learning optimization.
- Receiving action alerts from a virtual reality system regarding a virtual representation of a storage system.
- Translating each action alert into a storage system simulator event state.
- Using a machine learning model to determine a new event state based on the series of event states.
- Generating a new event based on the new event state and the series of event states.
- Updating the storage system simulation in the virtual reality system to display the new event.
Potential Applications: - Virtual training environments for storage system management. - Testing and optimizing storage system configurations in a simulated environment.
Problems Solved: - Enhancing the accuracy and efficiency of storage system simulations. - Providing a more interactive and dynamic virtual reality experience for storage system analysis.
Benefits: - Improved decision-making based on realistic simulations. - Reduced time and cost associated with physical testing of storage systems.
Commercial Applications: Title: Machine Learning Optimized Storage System Simulation for Virtual Environments This technology could be utilized by storage system manufacturers, data centers, and IT companies to streamline storage system design and management processes.
Questions about Machine Learning Optimized Storage System Simulation for Virtual Environments: 1. How does machine learning enhance the accuracy of storage system simulations?
Machine learning algorithms analyze patterns in the series of event states to predict and generate new events, improving the realism of the simulation.
2. What are the potential cost-saving benefits of using virtual reality for storage system analysis?
Virtual reality simulations can reduce the need for physical testing, saving time and resources in the development and optimization of storage systems.
Original Abstract Submitted
techniques are disclosed for machine learning optimized storage system simulation in a virtual environment. for example, a system includes at least one processing device including a processor coupled to a memory; the at least one processing device being configured to implement the following steps: receiving a series of action alerts from a virtual reality system concerning a virtual reality representation of a storage system; translating each action alert in the action alert series into a corresponding storage system simulator event state, to generate a series of event states; using a machine learning model to determine a new event state based on the series of event states; generating a new event based on the new event state and on the series of event states; and updating a storage system simulation corresponding to the virtual reality representation of the storage system to display the new event in the virtual reality system.
