NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems
Realizing autonomic management control loops is pivotal for achieving self-driving networks. Some studies have recently evidence the feasibility of using Automated Planning (AP) to carry out these loops. However, in practice, the use of AP is complicated since network administrators, who are non-exp...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/5/1790 |
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| author | Angela Rodriguez-Vivas Oscar Mauricio Caicedo Armando Ordoñez Jéferson Campos Nobre Lisandro Zambenedetti Granville |
| author_facet | Angela Rodriguez-Vivas Oscar Mauricio Caicedo Armando Ordoñez Jéferson Campos Nobre Lisandro Zambenedetti Granville |
| author_sort | Angela Rodriguez-Vivas |
| collection | DOAJ |
| description | Realizing autonomic management control loops is pivotal for achieving self-driving networks. Some studies have recently evidence the feasibility of using Automated Planning (AP) to carry out these loops. However, in practice, the use of AP is complicated since network administrators, who are non-experts in Artificial Intelligence, need to define network management policies as AP-goals and combine them with the network status and network management tasks to obtain AP-problems. AP planners use these problems to build up autonomic solutions formed by primitive tasks that modify the initial network state to achieve management goals. Although recent approaches have investigated transforming network management policies expressed in specific languages into low-level configuration rules, transforming these policies expressed in natural language into AP-goals and, subsequently, build up AP-based autonomic management loops remains unexplored. This paper introduces a novel approach, called NORA, to automatically generate AP-problems by translating Goal Policies expressed in natural language into AP-goals and combining them with both the network status and the network management tasks. NORA uses Natural Language Processing as the translation technique and templates as the combination technique to avoid network administrators to learn policy languages or AP-notations. We used a dataset containing Goal Policies to evaluate the NORA’s prototype. The results show that NORA achieves high precision and spends a short-time on generating AP-problems, which evinces NORA aids to overcome barriers to using AP in autonomic network management scenarios. |
| first_indexed | 2024-03-09T05:31:25Z |
| format | Article |
| id | doaj.art-864a1b2d357d49acbab58ac6af4e61f1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T05:31:25Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-864a1b2d357d49acbab58ac6af4e61f12023-12-03T12:32:27ZengMDPI AGSensors1424-82202021-03-01215179010.3390/s21051790NORA: An Approach for Transforming Network Management Policies into Automated Planning ProblemsAngela Rodriguez-Vivas0Oscar Mauricio Caicedo1Armando Ordoñez2Jéferson Campos Nobre3Lisandro Zambenedetti Granville4Department of Telematics, University of Cauca, Popayán 190002, ColombiaDepartment of Telematics, University of Cauca, Popayán 190002, ColombiaDepartment of Telematics, University of Cauca, Popayán 190002, ColombiaInformatics Institute, Federal University of Rio Grande do Sul, Porto Alegre, RS 90040-060, BrazilInformatics Institute, Federal University of Rio Grande do Sul, Porto Alegre, RS 90040-060, BrazilRealizing autonomic management control loops is pivotal for achieving self-driving networks. Some studies have recently evidence the feasibility of using Automated Planning (AP) to carry out these loops. However, in practice, the use of AP is complicated since network administrators, who are non-experts in Artificial Intelligence, need to define network management policies as AP-goals and combine them with the network status and network management tasks to obtain AP-problems. AP planners use these problems to build up autonomic solutions formed by primitive tasks that modify the initial network state to achieve management goals. Although recent approaches have investigated transforming network management policies expressed in specific languages into low-level configuration rules, transforming these policies expressed in natural language into AP-goals and, subsequently, build up AP-based autonomic management loops remains unexplored. This paper introduces a novel approach, called NORA, to automatically generate AP-problems by translating Goal Policies expressed in natural language into AP-goals and combining them with both the network status and the network management tasks. NORA uses Natural Language Processing as the translation technique and templates as the combination technique to avoid network administrators to learn policy languages or AP-notations. We used a dataset containing Goal Policies to evaluate the NORA’s prototype. The results show that NORA achieves high precision and spends a short-time on generating AP-problems, which evinces NORA aids to overcome barriers to using AP in autonomic network management scenarios.https://www.mdpi.com/1424-8220/21/5/1790WSNmobile sensorssweep coverageapproximation algorithmcombinatorial mathematics |
| spellingShingle | Angela Rodriguez-Vivas Oscar Mauricio Caicedo Armando Ordoñez Jéferson Campos Nobre Lisandro Zambenedetti Granville NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems Sensors WSN mobile sensors sweep coverage approximation algorithm combinatorial mathematics |
| title | NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems |
| title_full | NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems |
| title_fullStr | NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems |
| title_full_unstemmed | NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems |
| title_short | NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems |
| title_sort | nora an approach for transforming network management policies into automated planning problems |
| topic | WSN mobile sensors sweep coverage approximation algorithm combinatorial mathematics |
| url | https://www.mdpi.com/1424-8220/21/5/1790 |
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