Natural Language Processing Applied to Dynamic Workflow Generation for Network Management

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Workflow implementation in network management is a challenge, especially when it depends on human interaction. Traditional workflow generation, which was primarily focused on business management, employed a graphical representation of managed elements, supported using a human-understandable explanation. The difficulty with this approach is workflow adaptation to avoid execution problems when unexpected errors occur. In such circumstances, human intervention is necessary to resolve the problem. Current workflow generation solutions are inflexible and inefficient with regards to self-checking and self-healing, and they cannot be easily scaled or adapted. This paper presents a novel workflow management framework that controls an environment using dynamic workflow generation. The framework detects inconsistencies in workflow execution and reacts automatically to prevent a workflow termination or to replace a corrupted workflow if execution is not possible. A language-based text-oriented ticket input is used to describe the problem to be solved. This text is translated using natural language processing to a syntax understandable by the framework in order to generate the required workflow. The functionality of the workflow management framework is demonstrated in a software-defined networking environment.

Original languageEnglish
Title of host publicationProceedings of the IEEE/IFIP Network Operations and Management Symposium 2022
Subtitle of host publicationNetwork and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022
EditorsPal Varga, Lisandro Zambenedetti Granville, Alex Galis, Istvan Godor, Noura Limam, Prosper Chemouil, Jerome Francois, Marc-Oliver Pahl
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665406017
ISBN (Print)9781665406017
DOIs
Publication statusPublished - 2022
Event2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022 - Budapest, Hungary
Duration: 25 Apr 202229 Apr 2022

Publication series

NameProceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022

Conference

Conference2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022
Country/TerritoryHungary
CityBudapest
Period25/04/2229/04/22

Keywords

  • NLP
  • SDN
  • dynamic workflow generation
  • incident detection
  • incident mitigation
  • incident prevention
  • natural language processing
  • network management
  • smart management

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