Memory Management Module for Data Analytics Systems
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Solution Overview
Problem
Data analytics platforms face performance bottlenecks and delays when processing large data sets due to insufficient working memory and slow data access from secondary storage, leading to inefficiencies in data processing and analysis.
Innovation Solution
The implementation of a memory management module that optimally allocates and manages memory between primary and secondary storage, using compression techniques to efficiently utilize primary memory and transfer data between storage types, ensuring timely data access and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored in secondary storage, then storage capacity is sufficient, but data access speed is slow causing processing delays
Solution Approach 1:
The patent segments data into hot data (frequently accessed) and cold data (infrequently accessed), storing hot data in primary memory and cold data in secondary storage. This segmentation allows the system to maintain sufficient total storage capacity while ensuring that frequently needed data is quickly accessible in primary memory, thus resolving the contradiction between storage capacity and data access speed.
Solution Approach 2:
The patent introduces a new dimension of data classification based on access frequency, creating a multi-layered storage architecture. By adding the dimension of data热度 (hotness) classification, the system can optimize storage allocation across different memory levels, achieving both adequate storage capacity and fast access speeds for critical data.
2Speed
If more data is loaded into primary memory, then data access speed improves, but memory capacity is exceeded causing overflow
Solution Approach 1:
The patent applies local quality by treating different data differently based on their access characteristics. Frequently accessed data receives premium placement in primary memory for fast access, while infrequently accessed data is relegated to secondary storage. This localized optimization ensures that primary memory is used efficiently for data that truly requires fast access, preventing overflow while maintaining high access speeds for critical operations.
Solution Approach 2:
The patent implements dynamic data movement between primary and secondary memory based on real-time access patterns. Data that becomes frequently accessed is automatically loaded into primary memory, while data that becomes infrequently accessed is moved to secondary storage. This dynamic adaptation allows the system to maintain optimal data access speed without permanently overloading primary memory capacity.
3Quantity of substance
If data is compressed, then storage efficiency improves, but decompression time increases causing processing delays
Solution Approach 1:
The patent applies partial compression selectively to cold data in secondary storage rather than compressing all data. Hot data in primary memory remains uncompressed for immediate access, while only cold data undergoes compression. This partial application of compression achieves storage efficiency gains without incurring decompression time penalties for frequently accessed data, thus resolving the contradiction between storage efficiency and processing time.
4Quantity of substance
If compression is applied to data, then primary memory utilization improves, but processing time increases
Solution Approach 1:
The patent applies compression locally and selectively based on data location and access patterns. Data in primary memory that requires fast processing remains uncompressed to maintain high processing throughput. Data in secondary storage that is accessed infrequently is compressed to improve memory utilization. This localized quality differentiation allows the system to achieve both improved memory utilization and maintained processing productivity.
Data Source
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AI summary
A module manages memory in a computer. The module monitors usage of a primary memory associated with the computer. The primary memory stores memory blocks in a ready state. In response to primary memory usage by the memory blocks in the ready state exceeding a ready state threshold, the module compresses at least some of the memory blocks in the ready state to form memory blocks in a ready and compressed state. In response to primary memory usage by the memory blocks in the ready and compressed state exceeding a release threshold, the module releases at least some of the memory blocks in the ready and compressed state. In response to primary memory usage by the memory blocks in the compressed state exceeding a compressed threshold, the module transfers at least some memory blocks in the compressed state to a secondary memory associated with the computer.