Micron technology, inc. (20240176511). ASSOCIATING KEY-VALUE PAIR SETS WITH LEAF NODES simplified abstract
Contents
- 1 ASSOCIATING KEY-VALUE PAIR SETS WITH LEAF NODES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ASSOCIATING KEY-VALUE PAIR SETS WITH LEAF NODES - 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 Original Abstract Submitted
ASSOCIATING KEY-VALUE PAIR SETS WITH LEAF NODES
Organization Name
Inventor(s)
Gregory Alan Becker of Austin TX (US)
Alexander Tomlinson of Austin TX (US)
ASSOCIATING KEY-VALUE PAIR SETS WITH LEAF NODES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240176511 titled 'ASSOCIATING KEY-VALUE PAIR SETS WITH LEAF NODES
Simplified Explanation
The abstract describes a memory device that can identify a key-value pair set associated with a root node in a log-structured merge-tree. The device can determine that a set of keys in the pair set are associated with a leaf node, and then associate the pair set with the leaf node through a metadata update, decoupling it from the root node.
- Key-value pair set identified with root node in log-structured merge-tree
- Device determines keys associated with leaf node
- Pair set associated with leaf node through metadata update, decoupling from root node
Potential Applications
This technology could be applied in:
- Database management systems
- File systems
- Distributed storage systems
Problems Solved
This technology helps solve:
- Efficient data organization in memory devices
- Improved performance in accessing key-value pairs
- Simplified management of data structures
Benefits
The benefits of this technology include:
- Faster data retrieval
- Reduced memory usage
- Enhanced scalability for large datasets
Potential Commercial Applications
Potential commercial applications of this technology could include:
- Cloud storage services
- Big data analytics platforms
- Enterprise database solutions
Possible Prior Art
One possible prior art for this technology could be the use of B-trees in database systems for efficient data retrieval and storage.
What are the specific technical details of the metadata update process described in the abstract?
The specific technical details of the metadata update process are not provided in the abstract. It would be helpful to understand how the metadata update is performed and how it ensures the decoupling of the key-value pair set from the root node.
How does the association of the key-value pair set with the leaf node impact the overall performance of the memory device?
The abstract does not elaborate on how the association of the key-value pair set with the leaf node affects the performance of the memory device. Understanding the implications of this association on performance metrics such as data retrieval speed and memory usage would provide valuable insights.
Original Abstract Submitted
in some implementations, a memory device may identify a key-value pair set associated with a root node, wherein the key-value pair set includes a plurality of key-value pairs, and wherein the root node is associated with a log-structured merge-tree. the memory device may determine that a plurality of keys in the key-value pair set are associated with a leaf node based on the plurality of keys corresponding to an edge key associated with the leaf node, wherein the leaf node is associated with the log-structured merge-tree. the memory device may associate the key-value pair set with the leaf node based on a metadata update of the key-value pair set, wherein the key-value pair set becomes decoupled from the root node.