Reconfigurable FPGA Circuitry for Flash Storage Acceleration
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Solution Overview
Problem
Current storage systems face limitations in data access speeds and throughput due to bottlenecks in data transport bandwidth, particularly with hard disk drives (HDDs), which cannot keep pace with the rapid growth in data generation and transmission rates, leading to performance mismatches when combined with high-speed network data transmission technologies.
Innovation Solution
The implementation of a flash-based storage system utilizing an integrated circuit hardware component, such as a FPGA, with reconfigurable circuitry that includes a reconfigurable application engine, cache management subsystem, behavior control, RAID compute engine, and protocol offload engine to accelerate data operations, optimize cache usage, and provide redundant data paths for improved performance and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If hard disk drives (HDDs) are used for data storage, then large volumes of data can be accommodated, but data access rates remain limited and cannot keep pace with high-speed data transmission channels
Solution Approach 1:
The storage system is segmented into multiple independent flash storage devices organized in storage arrays, allowing parallel data access operations. Each flash storage device can handle data requests independently, enabling the system to scale data access throughput linearly with the number of devices while maintaining large storage capacity.
Solution Approach 2:
The storage system incorporates a reconfigurable data transfer component that can be dynamically configured to perform multiple functions including data transfer, protocol conversion, and integration with different storage devices. This universal component adapts to various data transmission protocols and storage interfaces, enabling high-speed data access across different device types.
2Device complexity
If traditional storage subsystems are used, then system simplicity is maintained, but they lack the integration technology to enable scaling of effective data storage at the same rate that data generation is growing
Solution Approach 1:
A reconfigurable data transfer component acts as an intermediary between the host system and flash storage devices, providing protocol conversion, data buffering, and intelligent data routing. This intermediary enables the storage subsystem to scale efficiently by mediating between high-speed data generation and storage operations, supporting rapid data storage scaling without proportionally increasing system complexity.
Solution Approach 2:
The storage system employs dynamic configuration capabilities where the reconfigurable data transfer component can be programmed and reprogrammed to adapt to different storage protocols, device types, and performance requirements. This dynamic adaptability allows the subsystem to optimize performance for varying data workloads while maintaining a relatively simple base architecture.
3Productivity
If data transmission rates are increased to handle big data, then throughput in communication channels is enhanced, but storage devices cannot keep pace with the rapid growth in data generation rates
Solution Approach 1:
The system implements preliminary data processing and filtering operations at the data transfer component before data reaches storage devices. This preliminary action includes data compression, deduplication, and prioritization, which reduce the actual storage burden and accelerate effective data storage rates, allowing the system to keep pace with high-speed data generation without proportionally increasing storage time.
Solution Approach 2:
The storage system maintains continuous data flow from high-speed transmission channels to storage devices through buffered data transfer and parallel processing. Multiple data streams are handled simultaneously without interruption, ensuring that the storage subsystem continuously processes incoming data at maximum throughput rates, eliminating idle time and maintaining continuous useful action throughout the storage pipeline.
Data Source
AI summary
Apparatus and method for accelerating processing operations of flash based storage systems are disclosed herein. In some embodiments, an IC component disposed between I/O circuitry and flash storage devices is configured to optimize fulfillment of data read and write requests originating from a network or device external to the flash based storage system using cache memory before involving the flash storage devices.