Adaptive Sampling for Fingerprint Index Deduplication
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Solution Overview
Problem
Data deduplication systems face performance issues due to the high resource costs of maintaining a large fingerprint index, particularly when the active buffer fills up quickly, leading to a backlog and reduced deduplication efficiency.
Innovation Solution
Implementing adaptive sampling logic to dynamically adjust the proportion of incoming data blocks for which fingerprints are added to the fingerprint index, allowing for partial sampling and leveraging temporal locality to maintain deduplication performance even when the active buffer is full.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fingerprints for all incoming data blocks are added to the fingerprint index, then deduplication accuracy is improved, but resource consumption and buffer fill rate increase
Solution Approach 1:
The patent applies partial sampling by adding fingerprints for only a proportion of incoming data blocks to the fingerprint index, rather than all blocks. This is achieved through adaptive sampling logic that dynamically adjusts the sampling proportion based on buffer status, reducing the quantity of fingerprints stored while maintaining acceptable deduplication accuracy.
Solution Approach 2:
The patent changes the parameter of sampling proportion dynamically. The adaptive sampling logic adjusts the proportion of fingerprints added to the index based on buffer fill rate and system load conditions, allowing the system to optimize between deduplication accuracy and resource consumption by varying this parameter in response to changing system states.
2Productivity
If the active buffer size is increased to store more fingerprint index delta updates, then deduplication performance is improved, but memory usage and resource costs increase
Solution Approach 1:
Instead of increasing buffer size to handle all fingerprint updates, the patent applies partial action by sampling fingerprints - only a proportion of incoming data block fingerprints are added to the index. This reduces the number of delta updates that need to be buffered, maintaining performance while using less memory.
Solution Approach 2:
The adaptive sampling logic monitors buffer status and automatically adjusts sampling proportion to prevent buffer overflow. The system self-regulates by reducing sampling when the buffer is near capacity, eliminating the need for larger buffers while maintaining operational continuity.
3Quantity of substance
If adaptive sampling proportion is reduced to manage buffer load, then resource consumption is decreased, but deduplication accuracy may deteriorate
Solution Approach 1:
The patent makes the sampling proportion dynamic rather than static. The adaptive sampling logic continuously adjusts the sampling proportion based on real-time buffer status and system conditions. When buffer load is high, sampling proportion decreases to reduce updates; when buffer capacity is available, sampling proportion increases to improve accuracy, thus dynamically balancing resource consumption and deduplication accuracy.
Solution Approach 2:
The system implements feedback control where the adaptive sampling logic monitors buffer fill rate and system performance, then adjusts the sampling proportion accordingly. This feedback mechanism ensures that deduplication accuracy is maintained within acceptable ranges while managing resource consumption, as the system learns from its operational state and adapts the sampling rate to optimize both accuracy and resource usage.
Data Source
AI summary
In some examples, a system dynamically adjusts a proportion of incoming data blocks for which respective fingerprints are added to a fingerprint index, where the fingerprint index correlates fingerprints for data blocks to storage location indicators for the data blocks. The system inputs, into a buffer, fingerprint index delta updates for the incoming data blocks according to the dynamically adjusted proportion, and updates the fingerprint index based on the fingerprint index delta updates input into the buffer. The system retrieves, in response to a fingerprint of an incoming data block, a collection of block entries from a block location index that stores information for data blocks in temporal order, and deduplicates the incoming data blocks using the collection of block entries from the block location index.