18070954. USING DELTA SNAPSHOTS TO FACILITATE INTENT POLICY MODEL ROLLBACK AND DEPLOYMENT simplified abstract (Juniper Networks, Inc.)

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USING DELTA SNAPSHOTS TO FACILITATE INTENT POLICY MODEL ROLLBACK AND DEPLOYMENT

Organization Name

Juniper Networks, Inc.

Inventor(s)

Chandrasekhar A of Bengaluru (IN)

Premchandar N of Bangalore (IN)

Jayanthi R of Bangalore (IN)

USING DELTA SNAPSHOTS TO FACILITATE INTENT POLICY MODEL ROLLBACK AND DEPLOYMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18070954 titled 'USING DELTA SNAPSHOTS TO FACILITATE INTENT POLICY MODEL ROLLBACK AND DEPLOYMENT

Simplified Explanation

The patent application abstract describes a system that updates a data structure to track changes to an intent policy model over time.

  • The system identifies an intent policy model associated with an initial time.
  • It updates a data structure to include portions, each associated with a start and end time.
  • Each portion includes a first delta snapshot indicating changes from the initial time to the start time, and additional delta snapshots showing incremental changes over time.

Potential Applications

This technology could be applied in various industries such as cybersecurity, data analytics, and artificial intelligence for tracking changes in policies and models over time.

Problems Solved

1. Tracking changes in intent policy models efficiently. 2. Managing and analyzing incremental changes in policy models.

Benefits

1. Improved tracking and management of policy changes. 2. Enhanced understanding of policy evolution over time. 3. Increased efficiency in analyzing incremental changes.

Potential Commercial Applications

Optimizing cybersecurity systems, enhancing data analytics platforms, improving AI algorithms for better decision-making processes.

Possible Prior Art

One possible prior art could be a system that tracks changes in software code over time, similar to the described technology.

Unanswered Questions

How does the system handle conflicts between different portions of the data structure?

The abstract does not provide information on how the system resolves conflicts when multiple portions of the data structure overlap or contradict each other.

What is the computational overhead of updating the data structure with each change?

The abstract does not mention the computational resources required to update the data structure with each incremental change to the intent policy model.


Original Abstract Submitted

A system identifies an intent policy model associated with an initial time. The system updates a data structure to cause the data structure to include one or more portions. Each portion of the data structure is associated with a start time and an end time. Each portion includes: a first delta snapshot that indicates one or more first changes to the intent policy model from the initial time to the start time associated with the portion, and one or more additional delta snapshots that respectively indicate one or more incremental changes to the intent policy model at times from the start time and to the end time associated with the portion of the data structure.