Real-Time Carbon Footprint Measurement for Computing Infrastructure
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Solution Overview
Problem
Current methods for calculating the carbon footprint of computing infrastructures are based on estimation rather than measurement, failing to account for specific energy-saving solutions and do not accurately measure the carbon impact across diverse computing systems, including GPUs and TPUs, and are limited by platform compatibility and location data accuracy.
Innovation Solution
A real-time carbon footprint measurement system that collects energy consumption and location data from a diverse set of computing equipment, integrates carbon intensity values from local electricity suppliers, and calculates the carbon footprint using a dynamic equation that accounts for varying carbon intensity over time and location, supporting heterogeneous and distributed computing infrastructures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If estimation methods are used to calculate carbon footprint, then the calculation process is simple, but the measurement precision is low and does not reflect actual carbon impact
Solution Approach 1:
The patent replaces estimation methods with actual measurement systems. It substitutes the mechanical/manual calculation approach with automated monitoring systems that directly measure energy consumption and calculate carbon footprint in real-time, thereby improving measurement precision while maintaining ease of operation through automation.
Solution Approach 2:
The system enables self-service by allowing computing equipment to automatically report their energy consumption data to a centralized monitoring system. This eliminates the need for manual data collection and estimation, providing accurate carbon footprint measurements without increasing operational complexity.
2Ease of operation
If conventional monitoring agents are used, then the system is easy to operate, but the adaptability is limited due to OS compatibility issues and inability to monitor all computing equipment
Solution Approach 1:
The patent implements a universal monitoring architecture that can operate across multiple operating systems (Linux, Windows, macOS, Android, iOS) and monitor diverse computing equipment including servers, laptops, smartphones, GPUs, and TPUs. The system uses standardized protocols and multiple collection methods to achieve cross-platform compatibility while maintaining ease of operation.
Solution Approach 2:
The monitoring system is segmented into independent components: collection modules that can be OS-specific, a universal processing layer, and a centralized database. This segmentation allows each component to be optimized for its specific function while maintaining overall system universality and ease of deployment.
3Device complexity
If location data at country level is used, then the data collection is simple, but the measurement precision of carbon intensity is insufficient
Solution Approach 1:
The system dynamically adjusts the granularity of location data based on availability and accuracy requirements. It can operate with country-level data when necessary but prefers to use more precise site-level or facility-level location data when available, allowing the measurement precision to adapt to the specific deployment context while managing complexity.
Solution Approach 2:
The system implements feedback mechanisms where carbon intensity data is continuously updated based on location information. When more precise location data becomes available, the system automatically refines its carbon intensity calculations, providing a pathway from simpler to more accurate measurements without requiring complete system redesign.
Data Source
AI summary
A device for determining a carbon footprint of a computing infrastructure in real time, including a collector that collect equipment data that includes, for each computing equipment, a measurement of its energy consumption and its time-stamped location, a receiver that received, for each site, a carbon intensity value provided by an electricity supplier of the each site, and a consolidator that associated a carbon intensity value of the each site with each computing equipment according to the time-stamped location of the computing equipment. The consolidator calculates the carbon footprint of each computing equipment from the carbon intensity value that is associated and the energy consumption that is measured.