Speculative Command Processing Interface for Storage Systems
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Solution Overview
Problem
Current data storage systems face inefficiencies due to host and storage device thrashing caused by speculative data requests, leading to resource wastage and delayed data retrieval, especially in multi-host environments where speculative requests are not effectively prioritized.
Innovation Solution
Implementing a speculative command interface that allows hosts and storage devices to differentiate between actual and speculative requests, prioritizing actual requests and performing preprocessing for speculative ones, such as prefetching, without committing resources until requests are confirmed, thereby optimizing resource utilization and reducing thrashing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If hosts send speculative data requests before confirmation, then data retrieval speed is improved, but resource wastage and thrashing occur
Solution Approach 1:
The storage device performs preliminary actions by identifying and prefetching candidate data blocks before the host confirms the actual data need. The device sends speculative read commands for multiple candidate blocks in advance, preparing data in buffer memory ahead of time. When the host confirms the actual data requirement, the data is already available or nearly available, achieving fast retrieval without wasting resources on unnecessary transfers.
2Productivity
If speculative requests are processed alongside actual requests, then throughput is improved, but prioritization and resource allocation become complex
Solution Approach 1:
The patent segments request management into distinct phases: speculative request phase and confirmed request phase. The storage device maintains separate tracking for speculative read commands and actual data requests. By dividing the request handling process into these segments with different priority levels and resource allocation strategies, the system achieves high throughput while keeping management complexity manageable through structured separation of concerns.
Solution Approach 2:
The system uses feedback mechanisms where the host confirms or cancels speculative requests after the storage device has prepared candidate data. This feedback loop allows the storage device to adjust resource allocation dynamically - maintaining speculative requests in a controlled manner and converting them to high-priority actual requests upon confirmation. The feedback enables efficient throughput by keeping the pipeline full while managing complexity through clear state transitions.
3Productivity
If multiple hosts send speculative requests simultaneously, then overall system activity is improved, but thrashing in multi-host environment worsens
Solution Approach 1:
The storage device applies local quality by treating each host's speculative requests with host-specific resource allocation and priority handling. Each host's speculative read commands are managed independently with dedicated buffer space and tracking structures. This localized management prevents thrashing by ensuring that one host's speculative activity does not interfere with another host's confirmed requests, while still maintaining high overall system activity through parallel processing of multiple hosts' speculative operations.
Data Source
AI summary
Systems and methods are disclosed for providing speculative command processing. In certain embodiments, a data storage device includes a non-volatile memory, a buffer, and a controller configured to: receive one or more actual requests for data from one or more hosts, wherein an actual request is associated with data confirmed to be required by an application on a host; receive one or more speculative requests for data from the one or more hosts, wherein a speculative request is associated with data that has not been confirmed to be required by an application on a host; process the one or more actual requests prior to the one or more speculative requests; and in response to determining that resources are available after processing the one or more actual requests, perform preprocessing for the one or more speculative requests.