Hit-Rate Score Storage Pre-fetching for Random Read Optimization
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Solution Overview
Problem
Storage devices face performance issues when handling random read requests, as existing pre-fetch techniques often lead to incorrect data retrieval and increased power usage, especially in scenarios where read commands are non-sequential.
Innovation Solution
A system and method that predict and pre-fetch data in a storage device by analyzing past read commands to identify patterns, allowing for accurate prediction of next read commands only when prediction accuracy exceeds a certain threshold, and optimizing resource usage to avoid unnecessary pre-fetching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If pre-fetch techniques are used for random read requests, then data retrieval speed may be improved, but power consumption increases and incorrect data may be retrieved
Solution Approach 1:
The system performs preliminary analysis of read command patterns to identify sequential access patterns within random reads. When a sequential pattern is detected with sufficient confidence, the system pre-fetches data in advance. This selective preliminary action avoids unnecessary pre-fetching for truly random accesses, thereby reducing power consumption while maintaining speed benefits where applicable.
Solution Approach 2:
The system dynamically changes the pre-fetching behavior based on detected access patterns. When sequential patterns are identified, pre-fetch parameters are activated; when random patterns dominate, pre-fetching is disabled. This parameter change approach allows the system to optimize between speed and power consumption based on actual workload characteristics.
2Speed
If pre-fetch techniques are used for random read requests, then data retrieval speed may be improved, but the system may retrieve incorrect data
Solution Approach 1:
The system performs preliminary analysis of read command patterns to identify sequential access patterns within random reads. When a sequential pattern is detected with sufficient confidence, the system pre-fetches data in advance. This selective preliminary action avoids unnecessary pre-fetching for truly random accesses, thereby reducing power consumption while maintaining speed benefits where applicable.
Solution Approach 2:
The system continuously monitors read command patterns and uses this feedback to adjust pre-fetching behavior. By analyzing the sequence of read commands and identifying patterns, the system can confidently predict future accesses only when patterns are established, ensuring high reliability. The feedback mechanism allows the system to adapt to changing access patterns while maintaining data retrieval accuracy.
3Productivity
If pre-fetching is performed for all read commands, then average throughput may improve, but latency increases for random reads
Solution Approach 1:
The system performs preliminary analysis of read command patterns to identify sequential access patterns within random reads. When a sequential pattern is detected with sufficient confidence, the system pre-fetches data in advance. This selective preliminary action avoids unnecessary pre-fetching for truly random accesses, thereby reducing power consumption while maintaining speed benefits where applicable.
Solution Approach 2:
Instead of performing full pre-fetching for all read commands, the system applies partial pre-fetching only to identified sequential patterns. This partial action approach maintains throughput benefits for sequential accesses while avoiding the latency overhead of pre-fetching for random accesses, achieving an optimal balance between productivity and time loss.
Data Source
AI summary
A storage system and method are provided for hit-rate-score-based selective prediction of future random read commands. In one embodiment, a storage system is provided comprising a memory configured to store a prior read command data structure, the prior read command data structure comprising a hit-rate score field. The storage system receives a current read command; generates a search sequence of read commands comprising the current read command and at least one prior read command; calculates an index value based on the search sequence; reads a hit-rate score from the hit-rate score field of an entry of the prior read command data structure identified by the index value; determines whether the hit-rate score is less than a threshold; and in response to determining that the hit-rate score is less than the threshold, updates the prior read command data structure with the search sequence. Other embodiments are provided.