Non-Sequential Memory Data Retrieval via Byte Jumping
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Solution Overview
Problem
Existing data retrieval systems fail to efficiently search for data stored non-sequentially in memory, leading to resource wastage and failed searches due to slight variations in data sequences.
Innovation Solution
A method and system that compare packet bytes to memory bytes, allowing jumps to non-consecutive locations to find matches, and generate retrieval instructions for reassembling data based on these comparisons, utilizing a comparison module and data module within a network memory appliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is stored sequentially in memory for efficient searching, then search speed is improved, but data storage flexibility deteriorates
Solution Approach 1:
The patent segments the search process into multiple phases: initial sequential search for matching bytes, identification of non-consecutive byte patterns, and separate handling of consecutive versus non-consecutive byte sequences. This segmentation allows the system to maintain sequential search efficiency while accommodating non-sequential data storage through targeted jumps to specific memory locations.
2Ease of operation
If traditional sequential search is used to find data in memory, then search simplicity is maintained, but search efficiency deteriorates when data is non-sequential
Solution Approach 1:
The patent implements a dynamic search approach that adapts to the data pattern being searched. The system initially performs sequential comparisons, then dynamically switches to non-sequential access by jumping to calculated memory locations when non-consecutive byte patterns are detected. This dynamic adaptation maintains operational simplicity while significantly improving efficiency for non-sequential data.
3Reliability
If the search continues exhaustively to ensure complete data retrieval, then data retrieval completeness is improved, but resource wastage increases
Solution Approach 1:
The patent incorporates feedback mechanisms where the search system continuously monitors comparison results and adjusts its behavior accordingly. When matches are found at non-consecutive locations, the system uses this feedback to calculate precise jump distances and update search parameters, eliminating the need for exhaustive sequential searching while ensuring complete data retrieval through targeted follow-up searches.
4Loss of time
If jumps to non-consecutive memory locations are implemented to speed up non-sequential search, then search time is reduced, but system complexity increases
Solution Approach 1:
The patent performs preliminary analysis during the initial sequential comparison phase to identify non-consecutive byte patterns and calculate jump distances in advance. By preparing jump targets and parameters beforehand during the natural flow of sequential searching, the system reduces search time through immediate execution of jumps without requiring complex real-time calculations or additional hardware structures.
Data Source
AI summary
Systems and methods for identification of data stored in memory are provided. A data packet is received and a first packet byte within the data packet is compared to a first memory byte within a memory. A mismatch is determined between the first packet byte and the first memory byte. A memory location is accessed that contains a second memory byte that is non-consecutive with the first memory byte. A packet location accessed that contains a second packet byte that is non-consecutive with the first packet byte. The second packet byte is compared to the second memory byte. A retrieval instruction is generated based at least in part on a result of the comparison between the second packet byte and the second memory byte. Various embodiments may be included in a network memory architecture to allow for faster data matching and instruction generation in a central appliance.