Dynamic Power Budgeting for Multi-Module Storage Controllers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional power management techniques for solid-state computer-readable storage devices often result in underutilization of available power due to conservative calculations that assume maximum power consumption across all storage modules, leading to excess power going unused.
Innovation Solution
Implementing a system with a controller that dynamically tracks and manages the actual power consumption of multiple logical storage devices, allowing for a greater number of devices to be included by configuring global and regional power thresholds, and using an arbitration component to resolve operation requests based on real-time power consumption levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conservative power management techniques are used to ensure power budget compliance, then power consumption is controlled, but power utilization efficiency deteriorates due to excess power going unused
Solution Approach 1:
The system dynamically adjusts power allocation based on real-time monitoring of actual power consumption levels. Instead of using static conservative estimates, the power management system continuously adapts to current operational conditions, allowing power budgets to be optimized as storage modules transition between different operational states (idle, active, maximum power).
Solution Approach 2:
The system implements a feedback mechanism where actual power consumption is monitored and fed back to the power management controller. This feedback loop enables the system to compare estimated versus actual power usage and adjust future power allocation decisions accordingly, preventing both power budget violations and unnecessary power wastage.
2Productivity
If the number of storage modules is increased to improve performance, then productivity increases, but power consumption may exceed the power budget
Solution Approach 1:
The system enables dynamic power budgeting that adapts to the actual number and operational state of active storage modules. By continuously monitoring which modules are actively performing operations versus being idle, the system can allocate power budgets dynamically, allowing more modules to be included in the device without permanently exceeding power limits.
Solution Approach 2:
The system changes the power budget parameter from a fixed conservative estimate to a dynamic value based on real-time operational conditions. This allows the power budget to scale with the actual workload and number of active storage modules, enabling higher productivity while maintaining power compliance.
3Reliability
If conservative power allocation is used to prevent power budget exceedance, then power budget compliance is maintained, but the number of storage modules that can be included decreases
Solution Approach 1:
The system uses dynamic power monitoring to determine the actual number of storage modules that can be supported within the power budget. Instead of using a fixed conservative allocation that limits the number of modules, the system continuously adjusts power distribution based on real-time consumption data, allowing maximum utilization of available power capacity.
Solution Approach 2:
The feedback mechanism provides real-time information about actual power consumption across all storage modules, enabling the system to accurately determine how many modules can be included without exceeding the power budget. This eliminates the need for conservative under-provisioning.
4Loss of energy
If real-time power tracking is implemented to optimize power usage, then power utilization efficiency improves, but device complexity increases
Solution Approach 1:
The power management controller performs multiple functions: it monitors power consumption, tracks operational states of storage modules, dynamically allocates power budgets, and enforces power compliance. By consolidating these functions into a single multi-functional controller, the system achieves real-time power optimization without proportionally increasing overall device complexity.
Solution Approach 2:
The system implements self-service power management where the controller automatically monitors and adjusts power allocation without requiring external intervention or complex external control systems. The power management subsystem serves itself by using its own monitoring capabilities to make real-time power allocation decisions.
Data Source
AI summary
Improved power management techniques for computer-readable storage devices are described. In one embodiment, for example, an apparatus may comprise a plurality of logical storage devices and a controller to manage operations of the plurality of logical storage devices, the controller comprising a configuration component to configure a global power consumption threshold defining an overall power consumption budget for the plurality of logical storage devices, a tracking component to maintain a global power consumption tally comprising an estimated total power consumption level for the plurality of logical storage devices, and an arbitration component to resolve an operation request based on the global power consumption threshold and the global power consumption tally. Other embodiments are described and claimed.