Hot-swapping Storage Pool Backend Modules for Virtual Machines
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Solution Overview
Problem
Existing virtualized computer systems face challenges in efficiently managing and updating disk image data formats stored by physical storage components, which can lead to inefficiencies and disruptions in virtual machine operations.
Innovation Solution
The implementation of a method to hot-swap storage pool backend functional modules, allowing for transparent updates of disk image data formats by swapping between active and standby modules, with metadata management to optimize the process and minimize disruptions to virtual machine operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If disk image data formats are updated in existing virtualized systems, then storage management can adapt to new formats, but virtual machine operations experience disruptions and inefficiencies
Solution Approach 1:
The system performs preliminary actions by creating standby functional modules with updated data formats before the current modules expire. These standby modules are pre-configured and validated, so when switching is needed, the transition is immediate and seamless, preventing any disruption to virtual machine operations while enabling format adaptability.
Solution Approach 2:
The invention changes the parameter of data format by implementing functional modules that can operate with different disk image data formats. Multiple versions of functional modules support different formats simultaneously, allowing the system to adapt to new formats without forcing a change that would disrupt ongoing virtual machine operations.
2Productivity
If functional modules are updated to support new data formats, then storage management efficiency improves, but the complexity of managing multiple module versions increases
Solution Approach 1:
The system segments storage pool backend functionality into separate, interchangeable functional modules. Each module is independently versioned and can be managed separately, allowing efficient updates without affecting other parts of the system. This modular segmentation enables high storage management efficiency while containing version management complexity within discrete module units.
Solution Approach 2:
The functional modules are designed with universal interfaces that allow different versions to coexist and be swapped based on the required data format. The modules implement a common interface standard, making them universally interchangeable despite supporting different data formats, thus improving storage management efficiency without proportionally increasing system complexity.
3Reliability
If data format updates are performed transparently, then virtual machine operations remain uninterrupted, but metadata storage requirements increase
Solution Approach 1:
The system creates standby copies of functional modules with updated data formats before switching. These copies contain the necessary metadata for the new format, allowing transparent updates without interruption to virtual machine operations. The copying mechanism ensures operation continuity while managing metadata storage by only duplicating what is necessary for the format transition.
Data Source
AI summary
Systems and methods for hot-swapping storage pool backend functional modules of a host computer system. An example method may comprise: identifying, by a processing device of a host computer system executing a virtual machine managed by a virtual machine manager, a storage pool backend functional module; and activating the identified storage pool backend functional module by directing, to the identified storage pool backend functional module, backend storage function calls.