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XAI-Guided Optimization of a Multilayer Network Regression Model
The recent technological advances create increased network capacity demand, highlighting the need for new network optimization methods. However, the proposed solutions require broad testing with numerous time-consuming simulations. Thus, estimation methods based on Machine Learning (ML) are develope...
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| creator | Duszynska, Katarzyna Polski, Pawel Wlosek, Micha Knapinska, Aleksandra Lechowicz, Piotr Walkowiak, Krzysztof |
| description | The recent technological advances create increased network capacity demand, highlighting the need for new network optimization methods. However, the proposed solutions require broad testing with numerous time-consuming simulations. Thus, estimation methods based on Machine Learning (ML) are developed to improve this process. In this work, we create a regression network model to predict four resource utilization metrics using the input set of connection requests. Using eXplainable Artificial Intelligence (XAI) tools, we optimize the proposed model for faster inference without a decrease in prediction quality. |
| doi_str_mv | 10.23919/IFIPNetworking62109.2024.10619785 |
| format | conference_proceeding |
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However, the proposed solutions require broad testing with numerous time-consuming simulations. Thus, estimation methods based on Machine Learning (ML) are developed to improve this process. In this work, we create a regression network model to predict four resource utilization metrics using the input set of connection requests. Using eXplainable Artificial Intelligence (XAI) tools, we optimize the proposed model for faster inference without a decrease in prediction quality.</abstract><pub>IFIP</pub><doi>10.23919/IFIPNetworking62109.2024.10619785</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | EISSN: 1861-2288 |
| ispartof | 2024 IFIP Networking Conference (IFIP Networking), 2024, p.769-774 |
| issn | 1861-2288 |
| language | eng |
| recordid | cdi_ieee_primary_10619785 |
| source | IEEE Xplore All Conference Series |
| subjects | Explainable AI explainable artificial intelligence machine learning Measurement multilayer network Nonhomogeneous media Optimization methods Predictive models resource allocation Runtime Uncertainty |
| title | XAI-Guided Optimization of a Multilayer Network Regression Model |
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