Center Allocation Data Structure for Ordered Memory Insertion
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Solution Overview
Problem
Conventional memory systems face performance issues due to the need for repeated shifts and rewrites of data entries to maintain ordered data structures, which increases computing resource overhead and reduces system performance.
Innovation Solution
A center allocation data structure is introduced, where data entries are written to address locations that are neither the first nor the last physical address, but rather substantially equidistant from them, reducing the need for shifts and maintaining ordered data structures with fewer operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data entries are written to the first or last physical address locations in conventional memory systems, then the data structure can be maintained in ordered state, but repeated shift operations are required which increase computing resource overhead and reduce system performance
Solution Approach 1:
The memory address space is segmented into three distinct regions: a first set of physical address locations, a second set of physical address locations (center region), and a third set of physical address locations. This segmentation allows data entries to be written to the center region without requiring shift operations, thereby resolving the contradiction between maintaining ordered data structures and preserving system performance.
2Ease of operation
If data entries are written to the first or last physical address locations, then insertion can be performed, but the number of shift operations increases which consumes additional computing resources
Solution Approach 1:
The address space is divided into first, second, and third sets of physical address locations. By writing data entries to the second set (center region) which is substantially equidistant from the first and third sets, the patent eliminates the need for shift operations during insertion, thus reducing computing resource overhead while maintaining ease of operation.
Solution Approach 2:
Instead of writing data to the conventional first or last address locations and performing shifts to maintain order, the patent inverts the approach by writing to the center address locations. This inversion eliminates the need for shift operations, thereby reducing computing resource overhead while maintaining data structure integrity.
3Quantity of substance
If conventional sequential writing is used, then data can be stored, but the frequency of shift operations increases which reduces system performance
Solution Approach 1:
The patent segments the address space into first, second, and third sets of physical address locations. Data entries are written to the second set (center region) which is substantially equidistant from the first and third sets. This segmentation enables data storage without requiring frequent shift operations, thereby resolving the contradiction between storage capacity and system performance.
Data Source
AI summary
A first data entry is written to an address location of a memory resource that is neither a first physical address nor a last physical address. In response to a determination that a second data entry has a value that is greater than a value associated with the first data entry, the second data entry is written to an address location that is physically located between the address location of the memory resource to which the first data entry is written and the last physical address. In response to a determination that the second data entry has the value that is less than the value associated with the first data entry, the second data entry is written to an address location that is physically located between the address location of the memory resource to which the first data entry is written and the first physical address.