Closed-Loop Network Automation: Architectural Principles from Catalyst Center-Scale Systems

Main Article Content

Manevannan Ramasamy

Abstract

Enterprise network controllers must manage large, heterogeneous environments of devices, clients, locations, applications, and services while preserving explainability, reliability, and change safety. This paper proposes a vendor-neutral architecture informed by public descriptions of Cisco DNA Center and established work on intent-based networking, telemetry, assurance, and autonomic networking. The architecture organizes closed-loop operation into six interacting layers: data acquisition and context, correlation and diagnosis, intent and policy, workflow orchestration, outcome verification, and external integration. It also defines hierarchical control scopes, evidence aggregation, action classes, and control budgets to limit concurrent remediation and reduce operational risk. Cisco DNA Center provides product context; this paper does not claim access to proprietary implementation details. The paper discusses proposed assessment dimensions, including outcome coverage, telemetry freshness, diagnostic accuracy, control-loop convergence, failover resilience, and operator understanding. The framework offers a product-aware, vendor-neutral basis for analyzing scalable enterprise controller automation and assurance.

Article Details

Section

Articles

Author Biography

Manevannan Ramasamy, Software Engineering Senior Technical Leader, Milpitas, California, United States of America

 

 

 

How to Cite

Ramasamy, M. (2022). Closed-Loop Network Automation: Architectural Principles from Catalyst Center-Scale Systems. International Journal of Humanities and Information Technology, 4(01-03), 302-313. https://doi.org/10.21590/ijhit.04.1-3.21

References

[1]. ETSI, Zero-touch network and Service Management (ZSM); Reference

Architecture, ETSI GS ZSM 002 V1.1.1, August 2019. Available:

2022 www.ijhit.info 311 | Page

International Journal of Humanities and Information Technology (IJHIT)

e-ISSN: 2456 –1142, Volume 4, Issue 01-03, (2022), ijhit.info

https://www.etsi.org/deliver/etsi_gs/ZSM/001_099/002/01.01.01_60/gs_zsm002v01

0101p.pdf

[2]. Cisco Systems, “Developer Toolkit GUI,” in Cisco DNA Center Platform User

Guide, Release 2.2.1, pp. 1–3. Available:

https://www.cisco.com/c/en/us/td/docs/cloud-systems-management/network-

automation-and-management/dna-center-platform/2-2-1-0/user_guide/

b_dnac_platform_ug_2_2_1/b_dnac_platform_ug_2_2_1_chapter_0111.pdf.

Accessed October 27, 2026.

[3]. M. Behringer, M. Pritikin, S. Bjarnason, A. Clemm, B. Carpenter, S. Jiang, and L.

Ciavaglia, “Autonomic Networking: Definitions and Design Goals,” RFC 7575,

Internet Research Task Force, Informational, June 2015. doi: 10.17487/RFC7575.

https://www.rfc-editor.org/rfc/rfc7575.html

[4]. H. Song, F. Qin, P. Martinez-Julia, L. Ciavaglia, and A. Wang, “Network Telemetry

Framework,” RFC 9232, Internet Engineering Task Force, Informational, May 2022.

doi: 10.17487/RFC9232. https://www.rfc-editor.org/rfc/rfc9232.html

[5]. A. Clemm, L. Ciavaglia, L. Z. Granville, and J. Tantsura, “Intent-Based Networking

—Concepts and Definitions,” Internet-Draft draft-irtf-nmrg-ibn-concepts-

definitions-05, Work in Progress, September 2, 2021. Available:

https://datatracker.ietf.org/doc/draft-irtf-nmrg-ibn-concepts-definitions/05/

[6]. X. Zheng and A. Leivadeas, “Network Assurance in Intent-Based Networking Data

Centers with Machine Learning Techniques,” in 1st Joint International Workshop on

Network Programmability & Automation (NetPA 2021), held with the 17th

International Conference on Network and Service Management (CNSM 2021),

2021, pp. 14–20. doi: 10.23919/CNSM52442.2021.9615580.

[7]. A. Leivadeas and M. Falkner, “VNF Placement Problem: A Multi-Tenant Intent-

Based Networking Approach,” in 2021 24th Conference on Innovation in Clouds,

Internet and Networks and Workshops (ICIN), 2021, pp. 143–150. doi:

10.1109/ICIN51074.2021.9385553.

[8]. M. Kiran, E. Pouyoul, A. Mercian, B. Tierney, C. Guok, and I. Monga, “Enabling

intent to configure scientific networks for high performance demands,” Future

Generation Computer Systems, vol. 79, part 1, pp. 205–214, February 2018. doi:

10.1016/j.future.2017.04.020.

[9]. A. Rafiq, A. Mehmood, T. A. Khan, K. Abbas, M. Afaq, and W.-C. Song, “Intent-

Based End-to-End Network Service Orchestration System for Multi-Platforms,”

Sustainability, vol. 12, no. 7, article 2782, 2020. doi: 10.3390/su12072782.

[10].A. Rafiq, A. Mehmood, and W.-C. Song, “Intent-Based Slicing between Containers

in SDN Overlay Network,” Journal of Communications, vol. 15, no. 3, pp. 237–244,

March 2020. doi: 10.12720/jcm.15.3.237-244.

[11].A. S. Jacobs, R. J. Pfitscher, R. A. Ferreira, and L. Z. Granville, “Refining Network

Intents for Self-Driving Networks,” in Proceedings of the Afternoon Workshop on

Self-Driving Networks (SelfDN ’18), 2018, pp. 15–21. doi:

10.1145/3229584.3229590.