Digital Twin Policy Conflict Resolution for Predicted Service States
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Solution Overview
Problem
Existing policy libraries in computer-implemented services contain conflicting action sets that can lead to reduced quality, interrupted, or delayed services due to undetected redundancies or errors, preventing effective management of predicted states.
Innovation Solution
A digital twin is used to generate simulated conditions and identify conflicting policies, allowing for the generation of a new policy with an overriding action set to resolve conflicts and ensure seamless operation of data processing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a policy library is used to manage predicted states, then service management capability is improved, but policy conflicts arise that reduce service quality and cause interruptions
Solution Approach 1:
The system performs preliminary policy conflict detection by simulating predicted states before implementing policies. The digital twin environment allows the system to test policy combinations in advance and identify conflicts beforehand, preventing service interruptions before they occur. This proactive approach enables the system to resolve conflicts prior to execution, maintaining service quality while preserving management capability.
Solution Approach 2:
The digital twin acts as an intermediary between the policy library and the actual data processing systems. It creates a virtual environment where policies can be tested and simulated against each other to detect conflicts. This intermediary layer allows for safe policy experimentation and conflict identification without affecting real service operations, thus maintaining both management capability and service reliability.
2Adaptability or versatility
If multiple policies are applied to manage predicted states, then comprehensive coverage is improved, but conflicting action sets cause service interruptions
Solution Approach 1:
The system simulates predicted states in advance using the digital twin to determine which policies should be applied together. By pre-testing policy combinations, the system identifies conflicts before execution and adjusts policy selection to ensure consistency. This allows comprehensive policy coverage while preventing interruptions through advance conflict resolution.
Solution Approach 2:
The system uses feedback from the digital twin simulations to validate policy combinations. After simulating the effects of multiple policies together, the system checks for conflicts and adjusts the policy selection accordingly. This feedback loop ensures that only non-conflicting policies are applied, maintaining service continuity while preserving comprehensive coverage.
3Device complexity
If policy conflicts are not detected, then system simplicity is maintained, but service interruptions and quality degradation occur
Solution Approach 1:
The system creates a digital twin copy of the data processing environment to simulate policy effects. This virtual replica allows the system to test policy combinations without affecting actual operations. The digital twin replicates system behavior, enabling conflict detection while maintaining operational simplicity. The copy can be experimentally modified to identify conflicts before applying policies to the real system.
4Measurement precision
If simulated conditions are used to identify conflicts, then conflict detection accuracy is improved, but computational resources are consumed
Solution Approach 1:
The digital twin creates a virtual copy of the data processing environment that can be simulated with reduced computational cost compared to actual system execution. The copy replicates necessary behaviors and state transitions while consuming fewer resources. This allows accurate conflict detection through simulation without the full computational burden of testing policies in the actual production environment.
Solution Approach 2:
The system uses disposable simulated conditions in the digital twin environment to test policies. These simulations can be quickly created, executed, and discarded without affecting the actual system. The virtual environments are temporary and can be rapidly instantiated to test different policy combinations, providing accurate conflict detection with minimal computational resource investment compared to production system testing.
Data Source
AI summary
Methods and systems for managing conflicting policies are disclosed. To manage the conflicting policies, a policy may be obtained, the policy including an action set keyed to a predicted state and the action set being usable to update operation of one or more data processing systems. A policy analysis process may be performed using at least the policy and a digital twin. In an instance of the policy analysis process in which the policy is determined as being conflicting with at least one policy of the set of existing policies: generation of a new policy may be initiated, the new policy being adapted to resolve a conflict between the policy and the at least one policy of the set of existing policies. The set of existing policies may be updated using the new policy so that the new policy is invoked during any future occurrence of the predicted state.