Dynamic Feedback Instance Consultation for Network Anomaly Resolution
Find Innovative SolutionsGenerate Solutions
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 inefficiencies in identifying and addressing anomalies across complex infrastructures.
Innovation Solution
A system is developed to dynamically create, manage, and consult among feedback instances using feedback instance models, orchestrators, and controllers, enabling automatic or semi-automatic creation of new instances, policy-driven modifications, escalation, and intercommunication to address deficiencies and optimize operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If feedback instances are constructed statically to identify and solve known anomalies, then the structure is simple and easy to manage, but the system cannot scale up in highly virtualized, real-time, and dynamic environments
Solution Approach 1:
The patent applies dynamics by transitioning from static feedback instances to dynamic feedback instances that can be automatically created, modified, and terminated based on real-time network conditions. The system dynamically selects and instantiates appropriate feedback instances from templates when anomalies are detected, allowing the feedback mechanism to adapt to changing network states without manual intervention.
Solution Approach 2:
The patent segments feedback instances into templates that can be independently selected and instantiated. Each template represents a predefined feedback instance configuration that can be deployed as needed. This segmentation allows the system to manage complexity by reusing proven templates rather than creating custom feedback instances from scratch, thereby improving scalability while maintaining manageability.
2Adaptability or versatility
If feedback instances are created dynamically to scale in virtualized environments, then the system becomes more adaptable and scalable, but the complexity of managing and coordinating multiple instances increases
Solution Approach 1:
The patent introduces a feedback instance manager as an intermediary component that coordinates and manages multiple feedback instances. This manager receives anomaly information, selects appropriate templates, instantiates feedback instances, and terminates them when no longer needed. By centralizing management functions in this intermediary component, the system reduces the operational complexity of coordinating multiple dynamic feedback instances.
Solution Approach 2:
The patent applies preliminary action by pre-defining feedback instance templates before they are needed. These templates contain pre-configured parameters, selectors, and termination conditions. When an anomaly occurs, the system only needs to select and instantiate the appropriate pre-prepared template rather than creating feedback instances from scratch, significantly simplifying the coordination and management process.
3Productivity
If the system manually creates and modifies feedback instances, then control and precision are maintained, but the time required to develop, deploy, and modify services increases
Solution Approach 1:
The patent implements self-service by enabling the feedback instance manager to automatically create, modify, and terminate feedback instances without manual intervention. The system autonomously selects appropriate templates based on detected anomalies, instantiates them with correct parameters, and manages their lifecycles. This automation dramatically reduces the time required to deploy and modify feedback services while maintaining precise control through template-based configurations.
Data Source
AI summary
Concepts and technologies disclosed herein are directed to consultation among feedback instances. According to one aspect, a system can receive a feedback instance consultation request for a consultation among an original feedback instance and a target feedback instance. The target feedback instance can be consulted with by the original feedback instance to enable the original feedback instance to cure a deficiency. The system can examine the feedback instance consultation request to determine if a match exists with an application programming interface associated with a target feedback instance model upon which the target feedback instance is based. If examination of the feedback instance consultation request determines that a match exists, the system can update the target feedback instance model with an intercommunication plan by which the consultation can occur. The system also can update an original feedback instance model upon which the original feedback instance is based.