International business machines corporation (20240103953). QUADRANT MATRIX BASED PRIORITY CALLS FOR FAILED DRIVES REPLACEMENT simplified abstract
Contents
- 1 QUADRANT MATRIX BASED PRIORITY CALLS FOR FAILED DRIVES REPLACEMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 QUADRANT MATRIX BASED PRIORITY CALLS FOR FAILED DRIVES REPLACEMENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does the approach handle real-time data updates in the prioritized list generation process?
- 1.11 What are the potential limitations or challenges in implementing this approach in different types of data centers?
- 1.12 Original Abstract Submitted
QUADRANT MATRIX BASED PRIORITY CALLS FOR FAILED DRIVES REPLACEMENT
Organization Name
international business machines corporation
Inventor(s)
Maunik Patel of Tucson AZ (US)
Tara Astigarraga of Fairport NY (US)
Jimmy Pazhoor John of CARY NC (US)
Kieron Dirk Anthony Hinds of Poughkeepsie NY (US)
QUADRANT MATRIX BASED PRIORITY CALLS FOR FAILED DRIVES REPLACEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240103953 titled 'QUADRANT MATRIX BASED PRIORITY CALLS FOR FAILED DRIVES REPLACEMENT
Simplified Explanation
The patent application describes an approach for recommending a prioritized list of replacement of failed drives in data centers. The approach involves segregating data into variable groups, creating entry lists based on units, sorting data into priority groups, and generating a prioritized replacement order using an ensemble machine learning model.
- Segregation of data into variable groups
- Creation of entry lists based on units
- Sorting data into priority groups based on rules and thresholds
- Generation of a prioritized replacement order using machine learning
Potential Applications
The technology can be applied in data centers, IT infrastructure management, and storage systems.
Problems Solved
Efficient and timely replacement of failed drives, optimization of drive replacement order, and improved data center maintenance processes.
Benefits
Increased data center reliability, reduced downtime, optimized resource allocation, and improved overall system performance.
Potential Commercial Applications
Data center management software, storage system solutions, IT infrastructure optimization tools.
Possible Prior Art
Existing drive replacement algorithms, data center maintenance systems.
Unanswered Questions
How does the approach handle real-time data updates in the prioritized list generation process?
The patent application does not provide details on how the approach adapts to real-time changes in data center environments.
What are the potential limitations or challenges in implementing this approach in different types of data centers?
The patent application does not address the scalability or compatibility of the approach with various data center configurations and setups.
Original Abstract Submitted
an approach for recommending a prioritized list of replacement of failed drives. the approach receives data associated with failed drives from data centers. the approach segregates the data into variable groups based on a data type. the approach creates a logical layer of entry lists, based on the units, for instantiations of the executable program. the approach sorts the data into priority groups based on priority rules associated with the variable groups and predetermined thresholds. the approach generates a prioritized list of failed drive replacement order based on an ensemble machine learning model. the approach outputs the prioritized list, replacement drive availability information and drive replacement personnel availability information.
