Structured Evaluation of Risk-Aware Network Automation Across Heterogeneous Network and Simulated Cloud Infrastructure

This technical report presents a structured evaluation of risk-aware network automation across heterogeneous network infrastructure and simulated AWS cloud operations. Eight written change-management procedures are compared using operator-action counts, distinct tools or sessions, and a five-level ordinal scoring methodology. The network scenarios cover VLAN configuration, OSPF configuration, rollback, compliance, multi-vendor changes, risk prediction, and logical digital-twin analysis. The cloud scenario evaluates a simulated AWS security-group ingress rule. For VLAN, OSPF, and multi-vendor changes, the defined traditional procedure requires 23 operator actions, compared with 6 actions in the proposed platform procedure. These figures represent written procedures rather than measured execution times or observed device operations. The report documents implementation evidence, source-code provenance, unit-test results, scoring sensitivity, and limitations. An isolated July 2026 controller archive passed 29 of 31 tests, with two remaining failures related to stored VLAN template targets. A separate five-device VLAN configuration preview was generated, but successful five-device workflow execution and live device deployment were not demonstrated. The findings provide a reproducible framework for examining operator effort and workflow structure. They do not establish production performance improvements, live AWS mutation, or successful closed-loop recovery. Supplementary materials include scoring worksheets, test logs, configuration preview evidence, source snapshots, checksum records, and reproduction instructions.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-05
DOI
https://doi.org/10.5281/zenodo.23984280
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
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article

Structured Evaluation of Risk-Aware Network Automation Across Heterogeneous Network and Simulated Cloud Infrastructure

KARTHIK PONNAIAH
Zenodo (CERN European Organization for Nuclear Research)
Software-Defined Networks and 5G
article

Structured Evaluation of Risk-Aware Network Automation Across Heterogeneous Network and Simulated Cloud Infrastructure

KARTHIK PONNAIAH
article en

Abstract

This technical report presents a structured evaluation of risk-aware network automation across heterogeneous network infrastructure and simulated AWS cloud operations. Eight written change-management procedures are compared using operator-action counts, distinct tools or sessions, and a five-level ordinal scoring methodology. The network scenarios cover VLAN configuration, OSPF configuration, rollback, compliance, multi-vendor changes, risk prediction, and logical digital-twin analysis. The cloud scenario evaluates a simulated AWS security-group ingress rule. For VLAN, OSPF, and multi-vendor changes, the defined traditional procedure requires 23 operator actions, compared with 6 actions in the proposed platform procedure. These figures represent written procedures rather than measured execution times or observed device operations. The report documents implementation evidence, source-code provenance, unit-test results, scoring sensitivity, and limitations. An isolated July 2026 controller archive passed 29 of 31 tests, with two remaining failures related to stored VLAN template targets. A separate five-device VLAN configuration preview was generated, but successful five-device workflow execution and live device deployment were not demonstrated. The findings provide a reproducible framework for examining operator effort and workflow structure. They do not establish production performance improvements, live AWS mutation, or successful closed-loop recovery. Supplementary materials include scoring worksheets, test logs, configuration preview evidence, source snapshots, checksum records, and reproduction instructions.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 14%
Software-Defined Networks and 5G
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Structured Evaluation of Risk-Aware Network Automation Across Heterogeneous Network and Simulated Cloud Infrastructure — KARTHIK PONNAIAH · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS