Test case 3: Intelligence-driven zero-touch orchestration

Overview

This repository contains the implementation and experimentation of Test Case 3 of the ACROSS project, focused on enabling AI-driven zero-touch network orchestration.

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Objectives

• Detect and prevent network issues
• Enable self-optimizing network orchestration using AI/ML models
• Maintain QoS and SLA guarantees
• Reduce energy consumption
• Detect and mitigate malicious traffic (e.g., DDoS)

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Test Cases

TC3.1 - Anticipatory detection, analysis and prevention of congestion problems​

Ensure the availability of required resources in multi-stakeholder networks​

TC3.2 - Smart energy-aware zero-touch TE

Incorporate energy consumption considerations into orchestration decisions ​

TC3.3 - Smart QoS-aware zero-touch Traffic Engineering​

Quality of Service (QoS) preservation in multiple stakeholder networks ​

TC3.4 - Intelligent zero-touch SLA preservation

Preservation of Service Level Agreements (SLAs) in multiple stakeholder networks​

TC3.5 - Heavy-hitter detection for zero-touch DDoS prevention​

Detection and filtering of DDoS traffic​

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Repository Structure

TC3/
├── TC3.1_3_4/    # Congestion prediction & prevention, QoS, SLA preservation
├── TC3.2/        # Energy-aware orchestration
├── TC3.5/        # DDoS detection and mitigation
└── README.md

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Acknowledgements

This work is funded by the European Commission through the HORIZON-JU-SNS-2022 ACROSS project with Grant Agreement number 101097122.

Developed by TID and UPM team .