Cross-Domain Sustainability Graph Export Under Data Governance
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Solution Overview
Problem
Existing technologies lack automated means to aggregate and selectively control power consumption and greenhouse gas-related metrics for networked infrastructures, limiting the assessment and observability of environmental impact and the ability to steer traffic to more sustainable infrastructures.
Innovation Solution
A method involving the generation of a multi-layer topology graph for a network domain, augmentation with sustainability-related attributes, pruning based on export policies, and selective data sharing with other domains, using a sustainability aggregation device to manage and control the data distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sustainability metrics are aggregated and shared across network domains, then environmental impact assessment capability is improved, but data security and governance compliance may be compromised
Solution Approach 1:
The patent extracts only the necessary sustainability metrics (power consumption, GHG emissions) from the complete network data and selectively exports them to external domains. This extraction approach enables environmental assessment while leaving sensitive network configuration and performance data within the domain, thus resolving the contradiction between information sharing and data security.
Solution Approach 2:
The patent applies different data treatment policies to different types of information. Sustainability metrics that require sharing are exported with appropriate precision, while sensitive data is retained or anonymized. This local quality differentiation allows the system to meet governance requirements for transparency while maintaining security boundaries.
2Loss of information
If detailed sustainability data is collected and exported, then observability of environmental impact is improved, but data processing complexity and communication overhead increase
Solution Approach 1:
The patent segments sustainability data into hierarchical levels (domain-level aggregates, device-level details) and processes them differently. This segmentation allows the system to maintain detailed observability internally while exporting only aggregated summaries externally, reducing processing complexity and communication overhead.
Solution Approach 2:
The patent implements partial data export by selecting only specific sustainability metrics (power consumption, GHG emissions) rather than complete network state information. This partial action approach provides sufficient environmental observability while significantly reducing data processing complexity and bandwidth requirements.
3Productivity
If real-time sustainability metrics are monitored and shared, then traffic steering to green infrastructures is improved, but energy consumption of monitoring systems increases
Solution Approach 1:
The patent implements periodic sampling of sustainability metrics rather than continuous real-time monitoring. This periodic action allows the system to maintain effective traffic steering capabilities by updating sustainability data at appropriate intervals, while significantly reducing the energy consumption of monitoring and processing systems compared to continuous observation.
Data Source
AI summary
Described herein are embodiments related to systems, methods, and processes for sharing sustainability-related attributes and data across multiple domains. More specifically, some embodiments describe a sustainability aggregation device which may include a controller or other processor, and a memory. The memory includes a sustainability aggregation logic that can receive telemetry data associated with a first network domain, and in response, generate a multi-layer topology graph for the first network domain. In response to the graph being generated, it can be augmented with one or more sustainability-related attributes. However, the device can prune the augmented multi-layer topology graph based on one or more export policies and export the pruned augmented multi-layer topology graph to a second network domain. The multi-layer topology graph may also be utilized within a closed-loop system to monitor various aspects of the network domain and adjust one or more configurations as needed based on the received data.