Ephemeral Feedback Instances in Dynamic Network Clouds

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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

The implementation of dynamic feedback instance management, where a policy engine can create, modify, or escalate feedback instances based on policy requests, involving entities like feedback instance resolvers, orchestrators, and coordinators to manage and optimize feedback loops.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If feedback instances are constructed statically to identify and solve known anomalies, then the feedback instances can be reliably executed, but they fail to scale in highly virtualized, real-time, and dynamic environments

Engineering Contradiction:
Improvefeedback instance execution reliabilityVSAvoidscalability in dynamic environments
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent transforms static feedback instances into dynamic, ephemeral feedback instances that can be created, modified, and terminated in real-time based on current network conditions. The feedback instance manager dynamically provisions feedback instances based on detected anomalies and network state, allowing the system to adapt to changing environments while maintaining reliable execution through policy-driven control.

Inventive Principle:
Principle #15Dynamics

2Adaptability or versatility

If feedback instances are made dynamic and ephemeral to enable real-time adaptation, then scalability and flexibility improve, but the complexity of managing feedback instances increases

Engineering Contradiction:
Improvereal-time adaptabilityVSAvoidfeedback instance management complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a feedback instance manager as an intermediary component that mediates between policy decisions and feedback instance execution. This manager handles the complexity of dynamic provisioning, modification, and termination of feedback instances, shielding other system components from the underlying complexity while enabling real-time adaptation through policy-driven control.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback mechanisms where the feedback instance manager monitors the execution of feedback instances and adjusts them based on detected anomalies and network conditions. This feedback loop enables real-time adaptation while managing complexity through automated policy-driven adjustments rather than manual intervention.

Inventive Principle:
Principle #23Feedback

3Speed

If feedback instances are created and modified in near-real time to respond to anomalies, then the system responds faster to issues, but the time and resources required for service development and modification increase

Engineering Contradiction:
Improveanomaly response speedVSAvoidservice development and modification time
Core Design Contradiction:
SpeedVSLoss of time

Solution Approach 1:

The patent pre-defines feedback instance templates and policies that can be rapidly instantiated when anomalies are detected. Instead of creating feedback instances from scratch during response time, the system prepares predefined templates that can be deployed in near-real-time, reducing both the time required for service development and the speed of anomaly response.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS9992277B2Ephemeral feedback instances
Publication Date: 2018.06.05 AT&T INTELLECTUAL PROPERTY I L P
  • US9992277B2 patent drawing
  • US9992277B2 patent drawing
  • US9992277B2 patent drawing

AI summary

Concepts and technologies disclosed herein are directed to ephemeral feedback instances. According to one aspect of the concepts and technologies disclosed herein, a policy engine can receive data and a policy request from a policy requestor. The policy engine also can determine whether a policy is available to satisfy the policy request. If the policy engine determines that a policy is available to satisfy the policy request, the policy engine can retrieve, from a policy repository, the policy to satisfy the request and can instruct one or more policy enforcement points to enforce the policy. If the policy engine determines that a policy is not available to satisfy the policy request, the policy engine can perform a feedback instance method to satisfy the policy request.