18127123. GENERATING PARAMETER VALUES FOR SNAPSHOT SCHEDULES UTILIZING A REINFORCEMENT LEARNING FRAMEWORK simplified abstract (Dell Products L.P.)
Contents
GENERATING PARAMETER VALUES FOR SNAPSHOT SCHEDULES UTILIZING A REINFORCEMENT LEARNING FRAMEWORK
Organization Name
Inventor(s)
GENERATING PARAMETER VALUES FOR SNAPSHOT SCHEDULES UTILIZING A REINFORCEMENT LEARNING FRAMEWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 18127123 titled 'GENERATING PARAMETER VALUES FOR SNAPSHOT SCHEDULES UTILIZING A REINFORCEMENT LEARNING FRAMEWORK
The abstract describes an apparatus that uses a processing device to detect a request for an updated snapshot schedule for an information technology asset. The device determines the current state of the asset, including snapshot parameters and performance metric values, and generates an updated parameter value for the snapshot schedule using a reinforcement learning framework. It then monitors the asset's performance with the updated schedule and updates the framework based on the subsequent state of the asset.
- Processing device detects request for updated snapshot schedule
- Determines current state of information technology asset
- Generates updated parameter value for snapshot schedule using reinforcement learning framework
- Monitors asset's performance with updated schedule
- Updates reinforcement learning framework based on subsequent state of asset
Potential Applications: - IT asset management - Performance optimization in IT environments - Automated scheduling and monitoring of snapshot schedules
Problems Solved: - Efficiently managing snapshot schedules for IT assets - Improving performance based on real-time data - Automating decision-making processes for IT asset optimization
Benefits: - Enhanced performance of IT assets - Real-time monitoring and optimization - Streamlined snapshot scheduling process
Commercial Applications: Title: "Reinforcement Learning-Based IT Asset Optimization" This technology can be used in various industries such as: - Cloud computing - Data centers - Network management companies
Questions about the technology: 1. How does the reinforcement learning framework improve the efficiency of managing snapshot schedules for IT assets? 2. What are the key advantages of using a reinforcement learning framework for optimizing IT asset performance?
Original Abstract Submitted
An apparatus comprises a processing device configured to detect a request for an updated snapshot schedule for an information technology asset, and to determine a current state of the information technology asset comprising a set of snapshot parameters of a current snapshot schedule and one or more performance metric values. The processing device is also configured to generate, utilizing a reinforcement learning framework, an updated parameter value for at least one of the snapshot parameters based at least in part on the current state. The processing device is further configured to monitor performance of the information technology asset utilizing the updated snapshot schedule comprising the updated parameter value for the at least one snapshot parameter, and to update the reinforcement learning framework based at least in part on a subsequent state of the information technology asset determined while monitoring performance of the information technology asset utilizing the updated snapshot schedule.
