Data Center Power Management via Graph-Based Node Segmentation
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Solution Overview
Problem
Data centers face significant power consumption challenges due to communications equipment, with limited techniques available to reduce power usage, especially given the complexity of navigating inter-dependencies among different network vendors' equipment.
Innovation Solution
A system and method that utilize machine learning to determine the minimum required connectivity topology within a data center, identifying nodes that can be powered down or placed in standby mode without affecting functionality, using a defined graph to regulate power based on system and capacity requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all nodes in the data center are kept powered up to ensure connectivity and functionality, then system reliability is improved, but power consumption increases
Solution Approach 1:
The patent segments the data center nodes into two distinct groups: required nodes that must remain powered up to satisfy connectivity requirements, and non-required nodes that can be powered down. This segmentation is achieved through graph analysis that identifies the minimum subset of nodes needed to maintain system functionality, allowing selective power management that reduces overall power consumption while preserving essential services.
2Use of energy by moving object
If nodes are powered down to reduce power consumption, then power savings are achieved, but system complexity increases due to managing connectivity requirements and interdependencies
Solution Approach 1:
The patent introduces an intermediary power management device that acts as a mediator between the complex network of interconnected nodes and the power control mechanism. This device performs graph analysis to determine connectivity requirements, identifies which nodes can be safely powered down, and manages the power states of individual nodes. By centralizing this complex decision-making process in a dedicated intermediary system, the patent simplifies the overall management of node interdependencies while achieving power savings.
3Use of energy by moving object
If a comprehensive graph analysis is performed to identify minimum required nodes, then power savings are optimized, but computational time and processing resources increase
Solution Approach 1:
The patent applies preliminary action by performing graph analysis and determining the minimum required node set in advance, before actual power management decisions are made. The power management device proactively analyzes connectivity requirements and identifies which nodes can be powered down, so that when power reduction is needed, the decisions are already made and ready for implementation. This preliminary analysis approach optimizes power savings while minimizing the time required for actual power state transitions.
Data Source
AI summary
Techniques for power savings in communications equipment are provided. The computer-implemented method can comprise identifying, by an electronic device operatively coupled to a processing unit, one or more connectivity requirements of one or more servers associated with a data center. The computer-implemented method can also comprise determining, by the electronic device, a defined graph that satisfies the one or more connectivity requirements. The computer-implemented method can further comprise powering down, by the electronic device, one or more elements of the data center that are not required by the defined graph; and powering up, by the device one or more nodes of the data center, which are in any state other than power up, that are required by the defined graph.