Dynamic Ephemeral Feedback Instances for Network Anomaly Detection
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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 inefficiencies in identifying and addressing anomalies.
Innovation Solution
A system dynamically creates and manages ephemeral coordinated feedback instances by receiving requests from a policy engine, building specifications based on feedback instance building policies, and storing models in a repository for later use, allowing for the creation, modification, and escalation of feedback instances to address changing objectives and deficiencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If feedback instances are statically established to identify known anomalies, then the structure is simple and stable, but the system cannot scale in highly virtualized, real-time, and dynamic environments
Solution Approach 1:
The patent implements dynamic feedback instances that can be automatically created, modified, and deleted based on real-time policy decisions and detected anomalies. The system transitions from static pre-defined feedback instances to dynamic ephemeral instances that adapt to changing network conditions, enabling scalability in virtualized environments while maintaining manageable complexity through automated lifecycle management
Solution Approach 2:
The patent segments the feedback instance management into modular components including policy engines that generate creation requests, specification builders that define instance parameters, and repositories that store and retrieve instances. This segmentation allows the system to handle complexity through organized modularity while maintaining adaptability through flexible composition of segmented components
2Extent of automation
If static feedback instances are used for known anomalies, then the implementation is straightforward, but manual intervention is required for complex network environments
Solution Approach 1:
The patent implements self-service automation where the system automatically generates feedback instance creation requests based on policy decisions, automatically builds specifications by examining requests and determining objectives, and automatically manages the lifecycle of feedback instances. This automation reduces manual intervention requirements while managing complexity through systematic self-management processes
Solution Approach 2:
The patent implements feedback loops where policy engines receive feedback from network monitoring, generate creation requests for new feedback instances based on detected anomalies, and continuously adjust instance management decisions based on system performance and policy outcomes. This feedback mechanism enables high automation while managing complexity through iterative refinement
3Speed
If static feedback instances are deployed, then the initial setup is simple, but the system cannot respond to changing objectives and deficiencies in real-time
Solution Approach 1:
The patent implements preliminary action by pre-establishing policy frameworks and instance templates that enable rapid response to anomalies. The system prepares specification building rules and policy decision criteria in advance, allowing feedback instances to be quickly created and deployed when needed without ad-hoc complexity, thus achieving fast response times with managed complexity
Data Source
AI summary
Concepts and technologies disclosed herein are directed to the dynamic creation and management of ephemeral coordinated feedback instances. In accordance with one aspect disclosed herein, a system can receive a feedback instance creation request. The feedback instance creation request can be received from a policy engine in response to the policy engine attempting to satisfy a policy request. The system can examine the feedback instance creation request to determine an objective to be met by a new feedback instance model. The system can build a specification for the new feedback instance model. The specification can be built in accordance with a feedback instance building policy. The system can create the new feedback instance model in accordance with the specification. The system can store the new feedback instance model and a unique identifier associated with the new feedback instance model in a feedback instance model repository.