Dynamic Feedback Instance Policy Management
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Solution Overview
Problem
Current feedback instances in user-defined network clouds are statically established and fail to scale in highly virtualized, real-time, and dynamic environments, leading to increased complexity in identifying and addressing anomalies across large numbers of instances.
Innovation Solution
The system dynamically creates, modifies, and escalates feedback instances based on policy participation levels, using entities like feedback instance resolvers, orchestrators, and controllers to manage feedback instance models and interactions, allowing for dynamic creation, modification, escalation, consultation, and optimization of feedback instances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If feedback instances are statically established to identify known anomalies, then the system can maintain simple structure and ease of operation, but the system cannot scale up in highly virtualized, real-time, and dynamic environments
Solution Approach 1:
The patent implements dynamic feedback instances that can be created, modified, and terminated in real-time based on runtime conditions. The system transitions from static pre-defined feedback instances to dynamic instances that adapt to changing network conditions, enabling scalability in virtualized environments while managing complexity through automated lifecycle management
Solution Approach 2:
The patent creates a universal feedback instance framework that can handle multiple types of anomalies and network conditions through a common dynamic instance mechanism. This multi-functional approach allows a single system to address diverse feedback scenarios without requiring separate specialized instances for each anomaly type, improving scalability while controlling complexity
2Productivity
If the system dynamically creates and modifies feedback instances, then the system can scale and adapt to real-time conditions, but the complexity of managing feedback instance models and interactions increases
Solution Approach 1:
The patent implements a feedback mechanism where the system monitors runtime conditions and automatically creates, modifies, or terminates feedback instances based on detected anomalies. This closed-loop feedback approach enables automated management of feedback instances, improving productivity by reducing manual intervention while the systematic feedback process helps manage complexity through rule-based decision making
Solution Approach 2:
The patent enables feedback instances to be self-managed through automated creation, modification, and termination based on runtime conditions. The system serves itself by automatically adjusting the feedback instance portfolio without external intervention, improving management efficiency while the automated self-service nature actually reduces the operational complexity compared to manual management
Data Source
AI summary
Concepts and technologies disclosed herein are directed to modes of policy participation for feedback instances. According to one aspect, a system can receive an event associated with an active feedback instance operating in a runtime. The system can map the event to a policy participation level policy. The system can determine a new policy participation level for the active feedback instance according to the policy participation level policy.