Dynamic Caching Module Selection for Data Deduplication
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Solution Overview
Problem
Byte caching for data deduplication results in excessive memory utilization and processing bottlenecks, and its effectiveness varies across different applications, particularly being inefficient with encrypted data streams.
Innovation Solution
A dynamic caching module selection method and system that classifies requests to identify the optimal caching module based on protocol, network address, and fingerprint size, allowing for bypassing deduplication for encrypted data, thereby optimizing data deduplication processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If byte caching is used for data deduplication, then deduplication precision is improved, but memory utilization increases excessively
Solution Approach 1:
The patent applies local quality by selecting different caching modules with different configurations (e.g., different fingerprint sizes) based on the specific characteristics of each data flow or application. Instead of using a uniform byte caching approach for all data, the system tailors the caching parameters to match the redundancy characteristics and requirements of individual data streams, thereby optimizing the balance between deduplication precision and memory utilization.
2Measurement precision
If byte caching is used for data deduplication, then deduplication effectiveness is improved, but processing throughput decreases due to overutilization of processing cycles
Solution Approach 1:
The patent implements dynamics by enabling the system to adaptively select caching modules based on real-time classification of data flow characteristics. The system dynamically adjusts which caching module is applied to each data stream based on factors such as redundancy level, application type, and processing requirements, allowing the system to optimize throughput by applying more intensive caching only where necessary.
3Measurement precision
If byte caching is used for data deduplication, then deduplication precision is improved, but effectiveness is reduced for encrypted byte streams lacking redundancy
Solution Approach 1:
The patent applies parameter changes by modifying the caching approach based on the detected characteristics of the data stream. For encrypted data streams or data lacking redundancy, the system changes parameters such as fingerprint size, caching intensity, or even bypasses caching entirely. This adaptive parameter adjustment allows the system to maintain high deduplication precision for suitable data types while avoiding ineffective processing for encrypted or low-redundancy streams.
Data Source
AI summary
Embodiments of the invention provide a method, system and computer program product for dynamic caching module selection for optimized data deduplication. In an embodiment of the invention, a method for dynamic caching module selection for optimized data deduplication is provided. The method includes receiving a request to retrieve data and classifying the request. The method also includes identifying from amongst multiple different caching modules each with a different configuration a particular caching module associated with the classification of the request. Finally, the method includes deduplicating the data in the identified caching module.