Backup Management Adapting to Power Constraints
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Solution Overview
Problem
Backup clients running on battery power or backup power sources, such as UPS, face challenges in completing data backup within a limited time window due to power constraints, leading to potential job termination and inefficiencies in existing backup management technologies.
Innovation Solution
A method for backup management that involves receiving power level information from clients, determining factors affecting the backup time window, identifying relevant data portions, and providing instructions for backup type and resource allocation based on power levels, network bandwidth, CPU load, disk resources, and priority comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If backup clients run on battery power or backup power sources, then portability and flexibility are improved, but the backup time window is limited and backup jobs may be terminated prior to completion
Solution Approach 1:
The backup system dynamically adjusts backup parameters including checkpoint intervals, backup types, and data selection based on real-time power level information. When power levels are low, the system reduces checkpoint intervals and selects critical data subsets to ensure completion within the limited time window, while maintaining adaptability to different power sources
Solution Approach 2:
The system changes operational parameters such as backup throughput, checkpoint frequency, and data priority levels based on power conditions. By monitoring power levels and adjusting these parameters dynamically, the system optimizes backup operations to complete within the available time window while maximizing the amount of data backed up
2Reliability
If the backup checkpoint interval is reduced to prevent job termination, then backup reliability is improved, but backup throughput and efficiency deteriorate
Solution Approach 1:
The system applies different checkpoint intervals to different data sets based on their priority and size. Critical data receives more frequent checkpoints to ensure completion, while less critical data uses standard intervals, thereby maintaining overall reliability without uniformly reducing throughput across all backup operations
3Productivity
If backup operations are optimized for limited power windows, then backup efficiency is improved, but the complexity of backup management increases
Solution Approach 1:
The backup client autonomously monitors its own power levels and automatically adjusts backup parameters without requiring manual intervention. The system self-regulates checkpoint intervals, data selection, and backup types based on power conditions, reducing management complexity while maintaining optimization efficiency
Data Source
AI summary
Techniques for backup management are disclosed. In one particular exemplary embodiment, the techniques may be realized as a method for backup management comprising the steps of receiving power level information from a backup client, determining a factor, based at least in part on the power level information, affecting a backup time window for the backup client, identifying a portion of data of the backup client for backup based on the determination, and providing an instruction to the backup client communicating the identified portion of data.


