Dynamic Snapshot Scheduling Using Storage Metrics
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Solution Overview
Problem
Existing snapshot scheduling techniques often result in inadequate data protection, reduced storage system performance, and resource wastage due to fixed schedules that do not adapt to changing storage system conditions, such as varying workloads and resource usage.
Innovation Solution
A dynamic snapshot scheduling method that adjusts snapshot generation parameters based on current storage pool usage, input/output metrics, snapshots in a destroying state, and the number of created snapshots, allowing for adaptive frequency adjustments within a user-specified or default range to optimize resource utilization and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If snapshot generation frequency is increased to improve data protection, then data protection is improved, but storage system performance and resource utilization deteriorate
Solution Approach 1:
The patent implements dynamic snapshot scheduling that automatically adjusts snapshot generation frequency based on real-time storage system conditions. The system monitors metrics such as storage pool usage, I/O performance, and snapshot destruction state, then dynamically modifies the snapshot schedule to optimize between data protection and system performance, avoiding the static limitations of traditional fixed-frequency scheduling approaches.
2Reliability
If snapshot generation frequency is increased to improve data protection, then data protection is improved, but storage resources are wasted
Solution Approach 1:
The system employs feedback mechanisms by continuously monitoring storage system metrics including storage pool usage, I/O performance, and snapshot destruction state. Based on this feedback, the snapshot scheduling algorithm automatically adjusts generation frequency to match actual system conditions, preventing unnecessary snapshot creation that would waste storage resources while maintaining adequate data protection levels.
3Ease of operation
If fixed snapshot schedule is used to simplify operation, then ease of operation is improved, but adaptability to changing conditions deteriorates
Solution Approach 1:
The patent implements self-service functionality where the snapshot scheduling system automatically monitors its own operating conditions and adjusts its behavior without user intervention. The system autonomously evaluates storage pool usage, I/O metrics, and snapshot destruction states, then self-adjusts the snapshot generation schedule to optimize performance and resource utilization, eliminating the need for manual schedule reconfiguration while maintaining high adaptability.
Data Source
AI summary
Dynamic snapshot scheduling techniques are provided using storage system metrics. One method comprises obtaining a schedule for generating snapshots of a portion of a storage system; automatically adjusting snapshot generation parameters in the schedule based on: (i) a current storage pool usage metric, (ii) an input/output metric of at least one storage resource in the portion of the storage system, (iii) a measure of snapshots in a destroying state, and/or (iv) a measure of a number of created snapshots; and initiating a generation of a snapshot of the storage system portion in accordance with the adjusted schedule. A snapshot generation frequency may be increased in response to an increase of: the current storage pool usage metric, the number of snapshots in the destroying state, and/or the number of created snapshots. A snapshot generation frequency may be decreased in response to an increase of the I/O metric of the at least one storage resource.