Federated Network Analytics Platform for Cross-Network Visibility

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Solution Overview

Problem

Current network traffic monitoring systems lack interoperability between nodes and clusters across different networks, leading to redundancies in control operations and limited visibility across networks, making it difficult to analyze and manage nodes and clusters effectively.

Innovation Solution

The implementation of a system and method that provides interoperability between nodes and clusters in separate networks through a federated network architecture, allowing direct communication and data exchange between networks, enabling the sharing of network traffic data and analytics, and aggregating data for cross-network visibility and management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If sensors are deployed in separate networks to collect network traffic data, then data collection capability is improved, but interoperability between networks deteriorates

Engineering Contradiction:
Improvedata collection capabilityVSAvoidinteroperability between networks
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent combines multiple separate network monitoring systems into a federated network architecture where sensor data from different networks is aggregated and shared through a common data lake and analytics platform, enabling cross-network visibility while maintaining individual network data collection capabilities

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a universal analytics platform that serves multiple networks simultaneously, allowing the same infrastructure to collect, store, and analyze data from various networks through standardized interfaces and protocols

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Ease of operation

If networks operate independently with separate sensor deployments, then network autonomy is improved, but visibility across networks deteriorates

Engineering Contradiction:
Improvenetwork autonomyVSAvoidvisibility across networks
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The patent segments the federated network into autonomous network clusters that maintain independent operation while connecting to a shared analytics infrastructure through standardized interfaces, preserving autonomy while enabling cross-network visibility

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces intermediate components including data lakes, analytics engines, and standardized APIs that mediate between autonomous networks, enabling information exchange without compromising network independence

Inventive Principle:
Principle #24Intermediary (Mediator)

3Ease of operation

If separate networks maintain independent control operations, then operational simplicity is improved, but redundancies increase

Engineering Contradiction:
Improveoperational simplicityVSAvoidredundancies in control
Core Design Contradiction:
Ease of operationVSLoss of substance

Solution Approach 1:

The patent merges control operations across networks by enabling shared analytics and insights from the federated architecture to inform control decisions in individual networks, reducing redundant control actions while maintaining operational simplicity

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS10523541B2Federated network and application data analytics platform
Publication Date: 2019.12.31 CISCO TECHNOLOGY INC
  • US10523541B2 patent drawing
  • US10523541B2 patent drawing
  • US10523541B2 patent drawing

AI summary

Systems, methods, and computer-readable media for providing interoperability between nodes in separate networks as part of a federated network. In some embodiments, a system can identify a first cluster of nodes in a first network and a second cluster of nodes in a second network. The system can provide interoperability between the first cluster of nodes and the second cluster of nodes. First analytics for the first cluster of nodes can be generated using first network traffic data gathered based on first network traffic flowing through the first cluster of nodes by a group of sensors implemented in the first network. The second cluster of nodes can access the first analytics for the first cluster of nodes as part of providing the interoperability between the first cluster of nodes in the first network and the second cluster of nodes in the second network.