Flash Storage Pipeline Without Lower-Level Controllers
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Solution Overview
Problem
Existing storage systems face inefficiencies in managing data operations, particularly in flash storage systems, where lower-level processes often perform redundant tasks, leading to reduced reliability and increased latency.
Innovation Solution
Implementing a direct-mapped flash storage system where higher-level processes manage data operations directly, eliminating the need for lower-level storage controllers, and utilizing non-volatile RAM for data buffering to enhance write performance and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lower-level storage controllers are used to manage data operations, then device complexity is reduced, but reliability decreases due to redundant tasks and increased latency
Solution Approach 1:
The patent extracts and removes the lower-level storage controller from the data path, allowing higher-level processes to manage data operations directly. This eliminates the redundant task of multiple controllers performing overlapping functions, thereby improving reliability while reducing overall system complexity.
Solution Approach 2:
The storage system is designed to be self-managing at the higher-level process, where data operations are handled directly by the storage system itself rather than being mediated through additional controller layers. This self-service approach reduces latency and eliminates redundant processing steps.
2Speed
If traditional storage controllers are used, then ease of operation is maintained, but latency increases due to redundant operations
Solution Approach 1:
By removing the lower-level storage controller from the data operation path, the patent eliminates the time-consuming redundant processing that occurs when multiple controllers handle the same data operations, directly reducing latency and improving operation speed.
Solution Approach 2:
The patent enables higher-level processes to skip the intermediate storage controller layer and directly manage data operations, rushing through the critical path of data handling to minimize latency and maximize speed.
3Reliability
If non-volatile RAM is used for data buffering, then reliability is improved during power failures, but device complexity increases
Solution Approach 1:
The patent changes the physical state parameter of the buffering medium by using non-volatile RAM instead of traditional volatile memory or disk-based buffering. This parameter change provides persistence during power failures while maintaining the buffering function, improving reliability without requiring complex hybrid storage architectures.
Data Source
AI summary
A dataset is received from a data source. A real-time analytics operation is executed on at least a portion of the dataset prior to fully persisting the dataset. Results of the real-time analytics operation are stored.