18087574. TRANSLATION OF A SOURCE INTENT POLICY MODEL TO A TARGET INTENT POLICY MODEL simplified abstract (Juniper Networks, Inc.)
Contents
- 1 TRANSLATION OF A SOURCE INTENT POLICY MODEL TO A TARGET INTENT POLICY MODEL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TRANSLATION OF A SOURCE INTENT POLICY MODEL TO A TARGET INTENT POLICY MODEL - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications of this Technology
- 1.6 Problems Solved by this Technology
- 1.7 Benefits of this Technology
- 1.8 Potential Commercial Applications of this Technology
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
TRANSLATION OF A SOURCE INTENT POLICY MODEL TO A TARGET INTENT POLICY MODEL
Organization Name
Inventor(s)
Chandrasekhar A of Bengaluru (IN)
Premchandar N of Bangalore (IN)
TRANSLATION OF A SOURCE INTENT POLICY MODEL TO A TARGET INTENT POLICY MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 18087574 titled 'TRANSLATION OF A SOURCE INTENT POLICY MODEL TO A TARGET INTENT POLICY MODEL
Simplified Explanation
The patent application describes a system that identifies and translates source nodes to generate target nodes in a graph, updates a target intent policy model, and orders the graph according to a hierarchical order.
- The system identifies a source intent policy model associated with a graph with source nodes and edges.
- It translates a set of source nodes to generate a set of target nodes in a graph with target nodes and edges.
- It updates the target intent policy model to include the subset of target nodes and the plurality of target nodes.
- The system orders the graph according to the hierarchical order determined by the subset of target nodes and the plurality of target nodes.
Potential Applications of this Technology
This technology could be applied in:
- Network security systems
- Data analysis and visualization tools
Problems Solved by this Technology
This technology helps in:
- Efficiently updating intent policy models
- Organizing and ordering graphs based on hierarchical structures
Benefits of this Technology
The benefits of this technology include:
- Improved system performance
- Enhanced data organization and management
Potential Commercial Applications of this Technology
- Cybersecurity software solutions for businesses
- Data management tools for research institutions
Possible Prior Art
There may be prior art related to:
- Graph ordering algorithms
- Intent policy model updates
Unanswered Questions
How does this technology handle large-scale graphs with complex structures?
The system's scalability and performance on intricate graphs are not explicitly addressed in the abstract.
What specific industries or sectors could benefit most from this technology?
The abstract does not specify which industries or sectors could see the most significant advantages from implementing this technology.
Original Abstract Submitted
A system identifies a source intent policy model that is associated with a graph having a plurality of source nodes connected by a plurality of source edges, identifies a set of source nodes of the plurality of source nodes, and translates the set of source nodes to generate a set of target nodes. The system identifies a subset of target nodes, of the set of target nodes, that are not included in a target intent policy model that is associated with a graph having a plurality of target nodes connected by a plurality of target edges. The system determines a hierarchical order associated with the subset of target nodes and the plurality of target node, and causes the target intent policy model to be updated to include the subset of target nodes and the plurality of target nodes, such that the graph is ordered according to the hierarchical order.
