Network Path Characterization Metric System
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Solution Overview
Problem
In data networks like the Internet, there is a lack of efficient mechanisms for providing path characterization information to all nodes, especially downstream nodes, and ensuring that this information is not falsified, which affects routing decisions and congestion management.
Innovation Solution
Implementing a path characterization metric system where the provider node assigns an initial condition to data packets, intermediate nodes update this metric based on the path conditions, and the receiver node provides feedback to the provider node about discrepancies, allowing the provider to adjust the metric for subsequent packets, thereby enabling informed routing decisions without the need for upstream feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If path characterization information is provided to all nodes including downstream nodes, then routing decisions are improved and network efficiency is enhanced, but device complexity increases due to the need for metric assignment, updating, and feedback mechanisms
Solution Approach 1:
The path characterization system is segmented into distinct functional components: provider nodes that assign initial metric values, intermediate nodes that update metrics based on local conditions, and receiver nodes that provide feedback. This segmentation distributes the complexity across multiple nodes rather than requiring a centralized complex system, enabling scalable implementation while improving network efficiency through localized decision-making
Solution Approach 2:
Provider nodes perform preliminary action by assigning initial path characterization metric values to data packets before they enter the network. This preliminary assignment establishes a baseline for routing decisions and allows intermediate nodes to efficiently update metrics based on actual path conditions encountered, reducing the need for complex real-time calculations at each node
2Measurement precision
If feedback mechanisms are implemented to ensure honest reporting of network status, then measurement precision of path conditions is improved, but device complexity increases due to additional verification and incentive mechanisms
Solution Approach 1:
A feedback mechanism is implemented where receiver nodes send path characterization metric values back to provider nodes. This feedback loop enables provider nodes to learn about actual path conditions and adjust their initial metric assignments accordingly, improving measurement precision through continuous learning while maintaining relatively simple node operations through standardized feedback protocols
Solution Approach 2:
The system utilizes parameter changes in path characterization metric values to encode path condition information. By modifying metric parameters based on observed network conditions (such as delay, loss, or congestion), nodes can communicate complex path state information through simple parameter adjustments, improving measurement precision without requiring complex verification mechanisms
3Loss of information
If path characterization metrics are updated at each intermediate node, then information completeness about downstream paths is improved, but loss of time increases due to multiple updates and propagations
Solution Approach 1:
Path characterization metrics are implemented as nested fields within data packet headers, allowing metric information to be carried along with the data flow itself. This nesting enables intermediate nodes to update metrics in-place without requiring separate communication protocols or additional message exchanges, improving information completeness while minimizing time loss through efficient in-band signaling
Data Source
AI summary
Data networks, nodes making up parts of data networks, and information are related to the characterization of paths taken by data travelling between nodes in the networks. Path characterization information is arranged to be conveyed to nodes such that it may be used by nodes subsequently forwarding data. In particular, the invention relates to nodes receiving such path characterization information from upstream nodes, deriving therefrom information indicative of characteristics of a path downstream of said nodes, and using such information to make informed decisions such as routing decisions when forwarding data onward in data networks.