Intermediate Storage Information Management for Data Processing
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Solution Overview
Problem
Large volume memory storage systems face inefficiencies in data updating due to the need for extensive mapping tables, leading to low data updating efficiency.
Innovation Solution
A method and device for data processing that updates intermediate storage information based on data and address information in a first storage space until a preset size is reached, using Hash values, header units, and section units to manage storage space information, allowing for efficient operations and reduced operations on the storage space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of stationary object
If mapping tables are used to manage large volume memory storage, then storage capacity is improved, but data updating efficiency deteriorates due to the large amount of mapping tables that need to be maintained
Solution Approach 1:
The patent segments the large volume storage space into multiple smaller storage spaces, each with its own manageable mapping table. Instead of maintaining one large mapping table for the entire storage system, the mapping functionality is divided across multiple smaller tables corresponding to different storage segments. This segmentation reduces the complexity and maintenance burden of individual mapping tables while preserving the overall large storage capacity.
2Adaptability or versatility
If mapping tables are maintained in local space for large volume memory, then storage management is enabled, but operation efficiency deteriorates due to the complexity of maintaining extensive mapping tables
Solution Approach 1:
The mapping table maintenance complexity is reduced by segmenting the storage space into multiple smaller units, each with its own simplified mapping table. This allows the system to maintain storage management capability while reducing the operational complexity of maintaining extensive mapping tables, as each segment's mapping table is smaller and easier to manage independently.
Solution Approach 2:
The patent introduces an intermediary mechanism where storage spaces are organized in a hierarchical or structured manner, with intermediate layers that manage the mapping relationships. This intermediary structure simplifies the maintenance of mapping tables by providing a layered approach to address translation, reducing the direct complexity burden on the system.
Data Source
AI summary
A method for data processing, comprising updating intermediate storage information according to data to be processed and address information of the data to be processed in a first storage space, until the intermediate storage information has reached a preset size; and performing, in the first storage space, an operation corresponding to the data to be processed using the intermediate storage information, when the intermediate storage information reaches the preset size. By the above method, the computing cost for performing an operation corresponding to the data to be processed in the first storage space can be reduced, the efficiency in performing the corresponding operation can be improved, and with intermediate storage information adapted to the first storage spaces of different sizes, the number of operations on the first storage spaces can be reduced.