Adaptive Data Compression for Memory and Bandwidth Constraints
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Solution Overview
Problem
Organizations face challenges in managing memory storage and communication bandwidth due to increasing computing resources demands, particularly in financial institutions handling large volumes of electronic transactions, which can lead to memory depletion and communication slowdowns.
Innovation Solution
Implementing a system that actively monitors and compresses data structures based on predetermined thresholds, using compression parameters to reduce memory usage and communication bandwidth by generating compressed data structures, thereby minimizing memory and manpower costs and communication delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in uncompressed format to maintain data integrity and accessibility, then data quality and reliability are improved, but memory storage capacity is depleted faster
Solution Approach 1:
The patent applies parameter changes by transitioning data between compressed and uncompressed states based on access patterns. Data is stored in compressed format to conserve memory capacity, then selectively decompressed to uncompressed format when access is required, maintaining data integrity while optimizing storage utilization.
2Speed
If data is stored in uncompressed format to enable fast processing, then processing speed is improved, but communication bandwidth is consumed faster
Solution Approach 1:
The patent applies preliminary action by pre-decompressing data that is likely to be accessed soon based on predicted access patterns. This ensures that frequently accessed data is already in uncompressed format when needed, maintaining processing speed while reducing the frequency of decompression operations and associated communication overhead.
3Quantity of substance
If additional storage devices are added to meet memory demands, then memory capacity is increased, but hardware costs and system complexity increase
Solution Approach 1:
The patent applies self-service by implementing automated compression and decompression operations that occur without manual intervention. The system automatically monitors data access patterns, applies compression to conserve storage capacity, and selectively decompresses data when needed, eliminating the need for additional hardware while maintaining adequate memory capacity.
4Quantity of substance
If data is compressed to reduce memory usage, then storage capacity is extended, but data access time increases
Solution Approach 1:
The patent applies dynamics by making the data compression state adaptive rather than static. Data is dynamically transitioned between compressed and uncompressed formats based on real-time access patterns and predicted future access needs, optimizing the balance between storage capacity utilization and data access speed.
Data Source
AI summary
Systems, devices and methods for adaptive compression of stored information includes a memory management computing device programmed to monitor a size of a plurality of data structures stored in a data repository. The computing device compares the size of each of a plurality of data structures to a predetermined threshold. When a size of an uncompressed data structure meets the threshold, the memory management computing device calculates a value of a first compression parameter based on a value of a first parameter and a value of a second parameter of each data element of the uncompressed data structure, calculates a value of a second compression parameter based the value of the first parameter of each data element of the uncompressed data structure, generates a compressed data structure based on the value of the first compression parameter and the second compression parameter; and replaces, in the data repository, the uncompressed data structure with the compressed data structure.