Memory Controller Data Characterization Storage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing memory systems face inefficiencies in managing storage regions due to lack of effective data characterization-based storage and retrieval methods, leading to potential data loss and operational errors during write and read operations.
Innovation Solution
A memory controller and method that utilize data characterization information to select appropriate internal storage regions for storing and retrieving data, generating metadata for each operation, and comparing data characterization information during read requests to ensure accurate data retrieval and prevent errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in internal storage regions without characterization information, then storage operation is simple, but data retrieval accuracy deteriorates and data loss occurs
Solution Approach 1:
The patent segments the storage management process into distinct phases: data characterization phase (where data is analyzed and tagged with metadata), storage phase (where characterized data is placed in appropriate internal storage regions), and retrieval phase (where metadata guides accurate data retrieval). This segmentation allows the system to maintain simplicity in basic storage operations while adding characterization capabilities where needed to improve reliability.
Solution Approach 2:
The patent introduces metadata as an intermediary element between the data and the storage management system. This metadata contains characterization information that acts as a mediator, enabling the system to distinguish between different types of data and route them to appropriate storage regions without complicating the basic storage mechanism. The metadata serves as an intermediate layer that simplifies retrieval operations while ensuring accuracy.
2Productivity
If multiple internal storage regions are used without characterization, then storage capacity increases, but data placement efficiency deteriorates
Solution Approach 1:
The patent applies local quality by characterizing data according to its specific properties (such as data type, size, access patterns) and placing it in internal storage regions that are optimally suited for those properties. Each storage region has specialized characteristics that match specific data types, allowing efficient placement without requiring complex global management algorithms. The characterization process automatically determines the best local storage location for each data item.
3Reliability
If data characterization metadata is stored with data, then data retrieval accuracy improves, but storage space consumption increases
Solution Approach 1:
The patent applies partial action by storing only the necessary characterization information in metadata, rather than storing complete data copies or excessive detail. The metadata contains just enough information to identify data type, size, and retrieval requirements, which is sufficient for accurate retrieval without wasting space. This partial characterization approach balances the need for accuracy with the need to minimize storage overhead.
Data Source
AI summary
A method for managing a memory includes: receiving a write request from a host; selecting an internal storage region among a plurality of internal storage regions of the memory based on data characterization information of a data received from a host according to the write request from a host; generating a metadata including the data characterization information of the data according to the write request; and storing the metadata along with the data in the selected internal storage region.