Optical Network Robotic Automation Platform for Multi-Vendor Optical Transport Network: Accelerating Validation, Troubleshooting, and Proof of Concept Efforts

Network automation is essential for accelerating service deployment and optimizing operations, especially in multi-vendor optical transport networks. However, unique interoper-ability challenges arising from vendor-specific implementations require standardized frameworks such as those provided by OpenROADM MSA. This work introduces the Optical Network Robotic Automation Platform (ON-RAP), a fully automated, vendor-agnostic solution that integrates system-level automation with robotic process automation, streamlining OpenROADM-compliant network operations and enabling comprehensive test automation. ON-RAP automates compliance validation, service provisioning, troubleshooting, and multi-vendor simulation, achieving precise configuration, real-time monitoring, and time-efficient fault resolution. ON-RAP enables seamless validation across simulated and real environments, enhancing test efficiency and scalability for network devices and controllers. In addition, it automates report generation to facilitate structured analysis and reduce manual effort.

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Publication Details

Published
2025-05-06
DOI
https://doi.org/10.23919/ondm65745.2025.11029373
Citations
2
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
2.97

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article

Optical Network Robotic Automation Platform for Multi-Vendor Optical Transport Network: Accelerating Validation, Troubleshooting, and Proof of Concept Efforts

Balagangadhar G. Bathula, Tianliang Zhang, Linqi Xiao, Andrea Fumagalli et al.
2 citations
Software-Defined Networks and 5G
2.97
article

Optical Network Robotic Automation Platform for Multi-Vendor Optical Transport Network: Accelerating Validation, Troubleshooting, and Proof of Concept Efforts

Balagangadhar G. Bathula, Tianliang Zhang, Linqi Xiao, Andrea Fumagalli, Aparaajitha Gomathinayakam Latha
article en
2 citations

Abstract

Network automation is essential for accelerating service deployment and optimizing operations, especially in multi-vendor optical transport networks. However, unique interoper-ability challenges arising from vendor-specific implementations require standardized frameworks such as those provided by OpenROADM MSA. This work introduces the Optical Network Robotic Automation Platform (ON-RAP), a fully automated, vendor-agnostic solution that integrates system-level automation with robotic process automation, streamlining OpenROADM-compliant network operations and enabling comprehensive test automation. ON-RAP automates compliance validation, service provisioning, troubleshooting, and multi-vendor simulation, achieving precise configuration, real-time monitoring, and time-efficient fault resolution. ON-RAP enables seamless validation across simulated and real environments, enhancing test efficiency and scalability for network devices and controllers. In addition, it automates report generation to facilitate structured analysis and reduce manual effort.

AT&T (United States) (US), The University of Texas at Dallas (US)
National Science Foundation
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Software-Defined Networks and 5G
2.97
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Optical Network Robotic Automation Platform for Multi-Vendor Optical Transport Network: Accelerating Validation, Troubleshooting, and Proof of Concept Efforts — Balagangadhar G. Bathula, Tianliang Zhang, et al. · (2025) | TGRS Research Map | TGRS