Topic 5 - Agent-based Autonomy: Difference between revisions
(Created page with "= Description = Agent-based operations enable self-learning and self-adapting capabilities within the ZSM framework, serving as a critical enabler for the shift from automation to autonomous, zero-touch networks. By leveraging agents, networks can dynamically optimize performance, mitigate disruptions, and achieve human-independent decision-making—delivering on the promise of true zero-touch management. = Status = <span style="color:green;">'''ACTIVE'''</span> (Appro...") |
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Latest revision as of 09:23, 28 July 2025
Description
Agent-based operations enable self-learning and self-adapting capabilities within the ZSM framework, serving as a critical enabler for the shift from automation to autonomous, zero-touch networks. By leveraging agents, networks can dynamically optimize performance, mitigate disruptions, and achieve human-independent decision-making—delivering on the promise of true zero-touch management.
Status
ACTIVE (Approved at ZSM#31a, July 2025)
Points to prove/refute
What aspects of automation were used to support the PoC, which means were used, and how did it enrich the PoC?
Criteria of success
Document how the scenarios, management solutions or management interfaces have been implemented.
Technical information to be provided by the PoC Team
• Scenario, management solution or management interface description
• High-level PoC architecture
• Specifics on the issues faced
• Specifics on the solutions provided
• Specifics on the lessons learnt
Template for the PoC Feedback Contribution
No specific template. POC Teams are expected to submit a Technical Report covering the points mentioned above.
Concerned WIs
- ZSM-002 “Reference Architecture”
- ZSM-020 “Study on the Utilization of Agents in Autonomous Networks”
- ZSM-021 “Study of ZSM Framework from Automation to Autonomy”