Distributed Power Delivery via Dynamic Budget Allocation
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Solution Overview
Problem
Distributed computing systems face inefficiencies and high costs due to fluctuating power requirements, as designing power delivery infrastructure around peak demands can lead to unnecessary expenses and performance penalties, such as longer time-to-ready for devices and limited power-saving options.
Innovation Solution
A distributed power delivery system utilizing a power control hierarchy that manages power distribution based on the maximum power capacity, real-time needs, and priority of components, employing power control entities (PCEs) to allocate and reallocate power among components, ensuring minimal infrastructure costs and performance impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power delivery infrastructure is designed based on peak possible power requirements, then power supply reliability is ensured, but infrastructure cost increases and power usage efficiency decreases
Solution Approach 1:
The patent implements dynamic power allocation where power budgets are continuously adjusted based on real-time workload demands. Each computing component receives a dynamically allocated power budget that reflects its current needs rather than a static peak capacity allocation, enabling the system to adapt power distribution to actual usage patterns and resolve the contradiction between reliability and energy efficiency
Solution Approach 2:
The system changes the parameter of power allocation from fixed peak-based to variable demand-based allocation. By monitoring actual power consumption and workload conditions, the system adjusts power budgets dynamically, transforming the infrastructure from a static design to a flexible system that optimizes the balance between ensuring adequate power supply and minimizing wasted capacity
2Power
If power delivery infrastructure is designed based on peak possible power requirements, then power supply capacity is sufficient, but infrastructure cost increases
Solution Approach 1:
The patent applies partial action by allocating only the necessary power capacity to each component based on its actual workload requirements rather than providing full peak capacity to all components. This selective allocation ensures sufficient power is available where needed while avoiding excessive infrastructure investment in components that do not require peak power, thereby reducing overall infrastructure cost
3Device complexity
If power is allocated statically to components, then infrastructure design is simple, but power-saving options are limited and time-to-ready increases
Solution Approach 1:
The system implements feedback mechanisms where power consumption and workload status are continuously monitored and used to adjust power budgets in real-time. This feedback loop enables the system to respond dynamically to changing conditions, allowing components to receive power allocations that reflect their current needs and reducing time-to-ready for power-intensive operations while maintaining manageable system complexity through automated control
Data Source
AI summary
Systems and methods are disclosed for distributed power delivery. In certain embodiments, an apparatus may comprise a device configured to control power to one or more power-consuming components via managing power usage among the one or more power-consuming components based on a priority of a task associated with the one or more power-consuming components. In certain embodiments, a device may comprise a processor configured to: receive a request to allow a component to expend an amount of power, determine if the request can be satisfied with an unallocated power budget managed by the processor, the unallocated power budget being an unallocated portion of a total power budget managed by the first processor, and allow the component to expend the amount of power when the request can be satisfied with the unallocated power budget.