Network Remediation Risk Scoring From Service Observability History
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Solution Overview
Problem
Conventional approaches to network infrastructure changes do not adequately manage the risks associated with remediation of faults, often leading to adverse chain-effects due to the lack of consideration for the impact on critical services.
Innovation Solution
A method that utilizes historical confidence scores and risk scores to assess the potential impact of remediation tasks, allowing decision-makers to determine whether and when to execute tasks to minimize disruptions, using service tests to validate the effectiveness of changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional approaches are used to make changes to network infrastructure to address faults, then fault remediation can be achieved, but adverse chain-effects may occur due to lack of risk management
Solution Approach 1:
The system performs preliminary risk assessment and service impact analysis before executing remediation tasks. Historical confidence scores are calculated and risk scores are generated in advance to evaluate potential adverse effects, allowing planners to prepare mitigation strategies before changes are implemented in the network infrastructure.
Solution Approach 2:
The system incorporates feedback loops where service test results and historical performance data are continuously monitored. Confidence scores are updated based on historical outcomes, and risk assessments are refined using feedback from previous remediation attempts, enabling continuous improvement in risk management and preventing recurring adverse effects.
2Object-affected harmful factors
If risk assessment and service testing are implemented to evaluate remediation tasks, then adverse effects can be reduced, but the complexity of the change management process increases
Solution Approach 1:
The system automates the generation of risk scores and confidence calculations using historical data and service test results. Rather than requiring manual risk assessment by planners, the system self-generates risk evaluations based on objective metrics, reducing the complexity burden on the change management process while maintaining thorough risk analysis.
3Measurement precision
If historical confidence scores and service tests are used to assess remediation tasks, then the accuracy of risk evaluation is improved, but the time required for decision-making increases
Solution Approach 1:
Confidence scores and historical performance data are pre-calculated and stored in the system before remediation tasks are initiated. When a remediation task needs to be evaluated, the system retrieves pre-computed confidence scores rather than performing time-consuming analyses from scratch, thereby maintaining high accuracy while reducing decision-making time.
Data Source
AI summary
In one embodiment, a method includes associating, to classifiers assigned to a plurality of groups of devices of a network to identify device commonality that is distinct for each group of the plurality of groups, historical confidence scores with which a task remediates an alert event. When a first device of the devices reports the alert event, the method includes identifying each classifier to which the first device belongs and each historical confidence score for each classifier. At least one risk score associated with the task is generated using at least the each historical confidence score, and the at least one risk score is provided to a system. The method also includes obtaining an indication of whether the task is to be executed on the first device from the system.