Storage Prefetching Trigger and Execution Module for Mixed Workloads
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Solution Overview
Problem
Conventional prefetching algorithms in storage systems face issues with minor interferences and inability to effectively support diverse workloads, leading to inefficient resource utilization and frequent prefetching, which complicates the prefetching logic and reduces throughput in mixed load environments.
Innovation Solution
The proposed solution divides the prefetching operation into a trigger part and an execution part, using a trigger module to determine if a read request satisfies a prefetching condition based on historical information and an execution module to dynamically adjust the prefetching window size, simplifying the process and enhancing anti-interference capability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional prefetching algorithms are used, then processor waiting time is reduced and parallel work with disk is achieved, but the algorithms cannot work normally in diverse workloads and cause frequent prefetching
Solution Approach 1:
The patent implements dynamic adjustment of the prefetching window size based on historical information and actual workload characteristics. The window size parameter is not fixed but adapts dynamically to different workload types (sequential, random, mixed), allowing the system to optimize prefetching behavior for each specific scenario while maintaining high processor utilization and reducing waiting time.
Solution Approach 2:
The system changes the prefetching window size parameter according to historical prefetching operations and current workload patterns. By adjusting this key parameter dynamically, the system achieves adaptability to diverse workloads while maintaining the performance benefits of prefetching, resolving the contradiction between time efficiency and workload versatility.
2Adaptability or versatility
If prefetching window size is increased to support diverse workloads, then workload adaptability is improved, but I/O consumption increases and throughput decreases
Solution Approach 1:
The patent employs feedback mechanisms by utilizing historical prefetching operation information to dynamically adjust the window size. The system continuously monitors prefetching effectiveness and adapts the window size based on this feedback, ensuring optimal performance across different workload types without excessive I/O consumption. This feedback-driven approach maintains high throughput while supporting diverse workloads.
Solution Approach 2:
The system applies partial prefetching by dynamically adjusting the window size to match actual needs rather than always using a large fixed window. This prevents excessive prefetching that would consume unnecessary I/O resources, while still providing sufficient prefetching for diverse workload patterns, thus maintaining high throughput and adaptability simultaneously.
3Adaptability or versatility
If prefetching operations are performed frequently to handle diverse workloads, then workload adaptability is improved, but prefetching logic becomes complicated and resource utilization decreases
Solution Approach 1:
The patent segments the prefetching operation into distinct phases: trigger condition evaluation, historical information analysis, window size determination, and execution. This segmentation simplifies the overall logic by breaking down the complex prefetching decision process into manageable, independent steps, making the system easier to implement and maintain while preserving adaptability to diverse workloads.
Solution Approach 2:
The system performs preliminary evaluation of trigger conditions and analysis of historical information before executing prefetching operations. This preliminary action allows the system to determine whether prefetching is actually needed and what window size is appropriate, avoiding unnecessary prefetching operations and simplifying the control logic while maintaining high adaptability to different workload patterns.
Data Source
AI summary
In accordance with certain techniques, prefetching operation may be divided into two parts: a trigger part and an execution part, thereby simplifying the prefetching process. Such techniques may further support prefetching of concurrent flows and enhance anti-interference capability. Certain techniques involve receiving a read request for a memory page, and determining whether the read request satisfies a trigger condition of a prefetching operation for the memory page. These certain techniques further involve, in response to the read request satisfying the trigger condition, determining a window size of the prefetching operation based on historical information of historical prefetching operations for the memory page, and triggering, based on the window size, execution of the prefetching operation.