Look-aside RAID Controller NVMe Storage Device-Assisted Data Update
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Solution Overview
Problem
RAID storage systems face scaling issues when using NVMe storage devices due to performance mismatch between NVMe devices and conventional RAID storage controllers, which limits the ability to manage multiple NVMe devices effectively.
Innovation Solution
An Information Handling System (IHS) with a RAID storage engine that performs Direct Memory Access (DMA) operations and XOR operations to manage NVMe storage devices, allowing for efficient data updates and parity calculations within the system, thereby offloading processing from the RAID storage controller.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional RAID storage controllers are used to manage NVMe storage devices, then the system can maintain compatibility with traditional RAID architectures, but the controller cannot scale to manage more than a few NVMe devices due to performance mismatch
Solution Approach 1:
The NVMe storage devices perform RAID operations autonomously using their own processors and buffer memory. Each NVMe device can execute XOR operations, data assembly, and parity calculation independently, eliminating the bottleneck of the RAID controller and enabling the system to scale to many more devices.
Solution Approach 2:
The RAID processing function is segmented from the central RAID controller and distributed across individual NVMe storage devices. Each device handles its own data processing and can independently participate in RAID operations, allowing the system to manage a large number of devices without increasing controller complexity.
2Productivity
If the RAID storage controller processes all data operations, then data integrity and redundancy can be maintained, but the controller becomes a performance bottleneck that limits system scalability
Solution Approach 1:
Each NVMe storage device autonomously performs data processing, XOR operations, and parity calculation using its integrated processor and buffer memory. This self-service capability distributes the processing load across all storage devices, eliminating the controller as a performance bottleneck and enabling linear scalability.
Solution Approach 2:
The buffer memory in each NVMe device serves as an intermediary workspace for performing RAID operations locally. Data can be assembled, processed, and validated within the device's own buffer before being written to storage media, reducing the need for controller-mediated operations.
3Quantity of substance
If more NVMe storage devices are added to increase storage capacity, then system capacity increases, but the conventional RAID controller cannot effectively manage the increased number of devices
Solution Approach 1:
Each NVMe device independently manages its own data operations, buffer memory, and processing tasks. This autonomy allows the system to scale to many devices without increasing the complexity of device management, as each device handles its own operations without requiring controller intervention for every task.
Solution Approach 2:
The management of RAID operations is segmented from the central controller and distributed across individual NVMe devices. Each device maintains its own processing capabilities and can independently participate in RAID operations, making the system easily scalable to accommodate additional storage capacity.
Data Source
AI summary
A RAID storage controller storage-device-assisted data update system includes a RAID storage controller device coupled to a host system and RAID storage devices in a “look aside” RAID storage controller device configuration. Based on command(s) from the RAID storage controller device, a first RAID primary data storage device may perform a first DMA operation to access first primary data stored on the host system, and write the first primary data to its first buffer subsystem. The first RAID primary data storage device may then perform a first XOR operation using the first primary data stored in its first buffer subsystem and second primary data stored in its first storage subsystem in order to produce first interim parity data, and write the first interim parity data to its second buffer subsystem. The first RAID primary data storage device may then update the second primary data with the first primary data.