@inproceedings{18f3d5e728af4ff191480a999464fb53,
title = "Chatbot-based Feedback for Dynamically Generated Workflows in Docker Networks",
abstract = "This paper presents an implementation of a feedback mechanism for a workflow management framework. A chatbot that uses natural language processing (NLP) is central to the proposed feedback mechanism. NLP is used to transform text-based plain language input, both human-written and machine-generated, into a form that the framework can use to generate a workflow for execution in an environment of interest. The example environment described here is containerized network management, in which the workflow management framework, using feedback, can detect anomalies and mitigate potential incidents.",
keywords = "chatbot, dynamic workflow generation, feedback, incident detection, incident mitigation",
author = "Andrzej Jasinski and Yuansong Qiao and Enda Fallon and Ronan Flynn",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 9th IEEE International Conference on Network Softwarization, NetSoft 2023 ; Conference date: 19-06-2023 Through 23-06-2023",
year = "2023",
doi = "10.1109/NetSoft57336.2023.10175429",
language = "English",
isbn = "9798350399806",
series = "2023 IEEE 9th International Conference on Network Softwarization: Boosting Future Networks through Advanced Softwarization, NetSoft 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "287--289",
editor = "Bernardos, {Carlos J.} and Barbara Martini and Elisa Rojas and Verdi, {Fabio Luciano} and Zuqing Zhu and Eiji Oki and Helge Parzyjegla",
booktitle = "2023 IEEE 9th International Conference on Network Softwarization",
address = "United States",
}