Fabric-Aware Packet Routing for Power Cost Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing networking technologies fail to dynamically adjust packet routing policies to optimize for varying environmental costs and conditions across geographically distributed networking nodes, leading to suboptimal power consumption and operational costs.
Innovation Solution
Networking nodes equipped with fabric awareness modules collect environmental metrics, generate routing policies based on these metrics, and adjust packet forwarding to optimize for factors such as power costs, quality of service, and other environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If networking nodes use fixed routing policies, then device complexity is reduced, but power consumption and operational costs cannot be optimized
Solution Approach 1:
The patent implements dynamic routing policies that automatically adjust based on real-time environmental metrics collected from networking nodes. The system transitions from fixed routing to adaptive routing where policies are generated and updated dynamically according to changing conditions such as power costs, traffic patterns, and node availability, thereby optimizing energy consumption without requiring manual reconfiguration.
Solution Approach 2:
The networking nodes autonomously collect environmental metrics and generate their own routing policies without requiring external intervention. The system performs self-optimization by automatically monitoring its own state and adjusting routing decisions based on collected data, reducing the need for complex external management while achieving cost optimization.
2Productivity
If networking nodes dynamically adjust routing policies based on environmental metrics, then power consumption and operational costs are optimized, but device complexity increases
Solution Approach 1:
The system segments the routing decision-making process into modular components: environmental metric collection, policy generation, and packet forwarding. Each networking node independently performs these segmented functions using standardized interfaces, allowing dynamic optimization at each level without requiring complex coordination across the entire network.
Solution Approach 2:
The patent changes key parameters of the routing system by introducing environmental metrics as dynamic weighting factors. Instead of using fixed routing criteria, the system adjusts routing decisions based on variable parameters such as power cost, traffic volume, and node performance, enabling flexible optimization that adapts to changing network conditions.
3Loss of energy
If routing decisions are made based on multiple environmental factors, then cost optimization is improved, but measurement and detection difficulty increases
Solution Approach 1:
The system employs a universal environmental metric collection framework that can monitor multiple types of parameters (power consumption, traffic volume, node availability, geographic location) through standardized sensing interfaces. This multi-functional approach allows the same infrastructure to gather diverse environmental data without requiring separate specialized measurement systems for each parameter type.
Data Source
AI summary
Dynamic packet routing based on fabric awareness information is presented. Networking nodes in a networking fabric observe environmental properties across the fabric. When differences in environment properties between portions of the fabric are detected, differences in power consumption costs for example, the fabric generates corresponding routing tables. The networking nodes can then route traffic in a manner that is sensitive to the environment properties, power consumption or the cost of power for example.