Kernel Driver Performance Data Management via Persistence Manager
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Solution Overview
Problem
Kernel drivers in data storage systems are burdened when clients frequently access them for performance data, leading to impaired efficiency and throughput, as the driver freezes and unfreezes I/O activity, affecting the host computer's performance.
Innovation Solution
The kernel driver acquires performance data over identified intervals and transfers it to a persistence manager outside the kernel, allowing client applications to access consistent, post-processed data without disturbing the kernel driver's primary functions, reducing burdensome interruptions and communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If clients frequently access the kernel driver to obtain performance data, then clients can access performance information, but the kernel driver's efficiency and throughput are impaired due to repeated freezing and unfreezing of I/O activity
Solution Approach 1:
The system is segmented into two distinct components: a kernel-mode driver that collects performance data and a user-mode persistence manager that stores and serves the data to clients. This segmentation allows the driver to collect data without being interrupted by client access requests, as clients interact only with the user-mode manager. The performance data collection function is separated from the data serving function, eliminating the conflict between data access and I/O processing.
Solution Approach 2:
The user-mode persistence manager acts as an intermediary between clients and the kernel driver. Clients request performance data from the persistence manager, which retrieves it from the driver only when necessary (at interval boundaries). This intermediary layer buffers client access requests, preventing them from directly interrupting the driver's I/O processing. The persistence manager translates frequent client access patterns into minimal, non-disruptive data collection operations.
2Ease of operation
If the kernel driver services performance data requests by freezing I/O activity, then performance data can be accessed, but I/O processing efficiency is reduced due to repeated freezing and unfreezing
Solution Approach 1:
The kernel driver performs preliminary action by collecting performance data continuously in the background during normal I/O processing, accumulating it in memory structures. At predetermined intervals, the driver snapshots this accumulated data and transfers it to the persistence manager. This preliminary collection approach ensures that when clients request data, it is already prepared and can be served without freezing I/O activity, as the data is retrieved from the user-mode manager rather than collected in real-time during client access.
Solution Approach 2:
The system implements periodic action by establishing fixed time intervals for data collection and transfer. The kernel driver collects performance data continuously but transfers snapshots to the persistence manager only at predetermined intervals. This periodic transfer mechanism decouples the frequency of client access requests from the frequency of data collection operations, allowing clients to access data frequently while the driver performs minimal, non-disruptive transfers at interval boundaries, thus avoiding repeated freezing of I/O activity.
3Adaptability or versatility
If multiple clients access the kernel driver simultaneously for performance data, then multiple clients can obtain information, but the negative impact on kernel driver performance is multiplied
Solution Approach 1:
The system creates a copy of the performance data in the user-mode persistence manager. Instead of having multiple clients access the kernel driver directly, all clients access the copied data stored in the persistence manager. The kernel driver collects data once and transfers it to the manager, which then serves all clients from this copy. This copying approach allows unlimited client access without multiplying the impact on the driver, as the driver's data collection operation remains a single, non-repeated event per interval regardless of the number of clients.
Data Source
AI summary
An improved technique for managing access to performance data of a kernel driver includes acquiring performance data in the kernel driver over identified intervals of time marked by the kernel driver itself and transferring the performance data to a persistence manager outside the kernel, where client applications can access the performance data and/or post-processed versions thereof without disturbing the operation of the kernel driver.