Data Protection Server Power State Management
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Solution Overview
Problem
Data protection systems face increased power consumption and cooling needs due to growing data volumes and redundant components, necessitating efficient power management to maintain operational readiness while minimizing energy usage.
Innovation Solution
A data protection server controls the power consumption state of other computing devices within the system based on the status of data protection operations and power management information, enabling dynamic power state transitions between normal, sleep, hibernation, and off states to optimize energy usage without interfering with data protection operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data protection systems incorporate increasingly powerful and larger computing devices to handle growing data volumes, then data protection capability is improved, but power consumption and cooling needs increase
Solution Approach 1:
The system dynamically transitions computing devices between different power states (active, sleep, hibernation, off) based on real-time operational needs. The data protection server continuously monitors system state and adjusts power consumption levels, allowing the system to adapt its energy usage to actual workload requirements rather than operating at constant high power levels.
Solution Approach 2:
The system changes the operational parameters of computing devices by adjusting their power states. By transitioning devices between different power consumption levels (from fully active to completely off), the system optimizes the balance between data protection capability and energy consumption based on current system needs and predicted future workloads.
2Reliability
If data protection systems include many redundant components to ensure availability, then system reliability is improved, but power consumption and cooling needs increase
Solution Approach 1:
The system dynamically manages the power states of redundant computing devices based on actual operational requirements. Instead of keeping all redundant components continuously powered on, the system transitions unused redundant devices to lower power states while maintaining their availability to take over if needed, thus reducing overall power consumption while preserving system reliability.
Solution Approach 2:
The data protection server automatically manages the power states of computing devices without requiring manual intervention. The system self-adjusts power consumption by monitoring operational status and predicting future needs, making intelligent decisions about which devices should remain active and which can be powered down or placed in sleep mode.
3Ease of operation
If computing devices operate constantly to handle data protection operations, then system readiness is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary actions by predicting future data protection operations based on historical patterns and scheduled tasks. This allows the system to proactively power up computing devices before they are actually needed, ensuring system readiness while avoiding the continuous operation of devices that may not be immediately required. The prediction mechanism enables advance preparation without constant high-power operation.
Solution Approach 2:
The system implements periodic monitoring and adjustment of computing device power states. Rather than maintaining constant high-power operation, the system periodically assesses operational needs and transitions devices between power states accordingly, creating a rhythm of active and low-power periods that reduces overall energy consumption while maintaining readiness when needed.
Data Source
AI summary
Various techniques for managing power consumption of computing devices within a data protection system are disclosed. For example, one method involves accessing policy information, which the policy information indicates when one or more data protection system activities should be performed and identifies whether a computing device is participating in the data protection system activities. Based upon this policy information, the method then identifies whether power consumption of the computing device can be reduced. In response to identifying that the power consumption of the computing device can be reduced, a power management command is automatically sent via a network. Performance of the power management command reduces the power consumption of the computing device.