Service Power Quantification via Dependency Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for assessing the environmental impact of services lack comprehensive solutions for analyzing power consumption at the service level, relying on manual calculations and human intuition, which are costly, error-prone, and fail to account for cross-data platform resources, such as cloud computing environments.
Innovation Solution
The development of systems and methods that quantify power consumption by identifying dependencies between service-level components and infrastructure, using modeling and machine-readable instructions to provide detailed metrics on energy consumption, carbon emissions, and associated costs, enabling better management and comparison of sustainability across different service providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual calculation methods are used to determine resource consumption, then flexibility in adjusting resource consumption is maintained, but the cost of human engagement increases and error rates rise
Solution Approach 1:
The system enables self-service by automatically collecting resource consumption data from infrastructure components and calculating service-level power usage without requiring manual human intervention. The automated system serves itself by integrating data collection, dependency modeling, and calculation functions into a unified computational framework that operates independently.
Solution Approach 2:
The patent replaces the mechanical system of manual calculation with an automated computational system. Human intuition and manual adjustment mechanisms are substituted with algorithmic dependency models that automatically trace resource consumption through service components to infrastructure, eliminating human error while maintaining calculation flexibility.
2Measurement precision
If infrastructure-level energy metering is implemented, then compliance and assessment capabilities are improved, but the ability to analyze service-level power consumption is insufficient
Solution Approach 1:
The system segments the measurement process into two distinct layers: infrastructure-level metering for compliance and assessment, and service-level dependency modeling for comprehensive analysis. This segmentation allows each layer to perform its specialized function optimally while integrating results to provide complete sustainability insights.
Solution Approach 2:
The patent introduces service dependency models as an intermediary layer between infrastructure metering data and service-level consumption analysis. This intermediary translates raw infrastructure measurements into meaningful service-level metrics by modeling the relationships and dependencies between service components and underlying infrastructure resources.
3Loss of information
If comprehensive service dependency modeling is implemented, then service-level power consumption analysis is improved, but system complexity increases
Solution Approach 1:
The system achieves universality by creating a multi-functional dependency modeling framework that simultaneously handles service topology representation, resource consumption tracing, and sustainability metric calculation. This single unified model performs multiple functions that would otherwise require separate systems, reducing overall complexity while maintaining comprehensive information capture.
Data Source
AI summary
Quantifying power usage for a service. An example method may include identifying a dependency model for the service, the dependency model based in part on infrastructure providing the service. The method may also include determining power usage for the service using the dependency model.