Priority-Based Battery Allocation for Volatile Memory Backup
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Solution Overview
Problem
Current solutions for managing power delivery in cloud computing environments with volatile memory devices are inadequate, particularly during power failures, as they often fail to prioritize critical data and application state effectively, leading to data loss and performance impacts due to insufficient battery power.
Innovation Solution
A priority-based battery management system that allocates battery power to volatile memory devices based on data criticality and application priority, ensuring critical data is flushed to persistent memory before non-critical data, and provides a log of backed-up data for resumed operations after power restoration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery power is allocated to all volatile memory devices during power outage, then data backup completeness is improved, but battery power is insufficient and leads to power exhaustion before all data can be backed up
Solution Approach 1:
The system segments volatile memory devices into multiple priority groups (first priority, second priority, third priority) based on data criticality. During power outage, battery power is allocated sequentially to each priority group, ensuring that critical data is backed up first before less critical data, thereby maximizing data protection within limited battery capacity.
Solution Approach 2:
Different priority levels are assigned to different memory devices or data regions based on their specific importance. High-priority memory devices receive battery power allocation first, while lower-priority devices receive power only after higher-priority devices are secured, creating a differentiated power distribution strategy tailored to local data criticality requirements.
2Device complexity
If all data is treated equally during power failure, then simplicity is maintained, but critical data may be lost due to insufficient battery power allocation
Solution Approach 1:
The system performs preliminary classification of memory devices into priority groups before power outage occurs. This pre-established priority structure enables rapid and differentiated battery power allocation when power failure is detected, avoiding the need for complex real-time decisions during the critical power loss event.
Solution Approach 2:
The system monitors battery power levels and the state of data backup operations. Based on feedback from battery status and backup progress, the power management device dynamically adjusts power allocation to different priority groups, ensuring optimal use of limited battery capacity to maximize data protection.
Data Source
AI summary
Examples described herein relate to management of battery-use by one or more computing resources in the event of a power outage. Data used by one or more computing resources can be backed-up using battery power. Battery power is allocated to data back-up operations based at least on one or more of: criticality level of data, priority of an application that processes the data, or priority level of resource. The computing resource can back-up data to a persistent storage media. The computing resource can store a log of data that is backed-up or not backed-up. The log can be used by the computing resource to access the backed-up data for continuing to process the data and to determine what data is not available for processing.