Redes Baseadas em Intenção: Análise de Abordagens e Taxonomia Hierárquica Multidimensional
Resumo
Redes Baseadas em Intenção (IBN) emergem como um paradigma para o gerenciamento autônomo de redes complexas frente a crescente demanda por automação. Nesse contexto, urge a consolidação de evidências experimentais que identifique padrões e lacunas de pesquisa. Para tanto, este trabalho apresenta um Mapeamento Sistemático mutidimensional e propõe uma taxonomia que estrutura o estado da arte em IBN. Os resultados indicam a predominância de soluções semiautônomas e uma transição de abordagens baseadas no uso de PLN e LLMs na tradução de intenções. Apesar dos avanços, a padronização, segurança e tradução de intenções persistem como desafios, evidenciando lacunas para a evolução das IBN.
Referências
Alam, S., Rivera, J. J. D., Sarwar, M. M. S., Muhammad, A., and Song, W.-C. (2024). Assuring Efficient Path Selection in an Intent-Based Networking System: A Graph Neural Networks and Deep Reinforcement Learning Approach. Journal of Network and Systems Management, 32:41. Publicado online: 3 de Abril de 2024.
Alcock, P., Anand, R., Rotsos, C., and Race, N. (2024). Swift: Semantic web intent framework for intent translation.
Andreazi, G. T., Estrella, J. C., Bruschi, S. M., Immich, R., Guidoni, D., Alves Pereira Júnior, L., and Meneguette, R. I. (2021). Mohripa—an architecture for hybrid resources management of private cloud environments. Sensors, 21(20).
Andrushchak, V. S., Beshlei, M. I., and Maksymiuk, T. A. (2021). Intelligent traffic engineering for future intent-based software-defined transport network. In Klymash, M., Beshley, M., and Luntovskyy, A., editors, Future Intent-Based Networking: On the QoS Robust and ..., Lecture Notes in Electrical Engineering, pages 161–181. Springer, Cham.
Asif, M., Khan, T. A., and Song, W.-C. (2025). R-ibn: A reinforcement learning-based intent-driven framework for end-to-end service orchestration and optimization. Computer Networks, 270:111564.
Beshley, M., Kryvinska, N., and Beshley, H. (2023). Quality of service management method in a heterogeneous wireless network using Big Data technology and mobile QoE application. Simulation Modelling Practice and Theory, 127:102771.
Beshley, M., Medvetskyi, M., Jun, S., Pryslupskyi, A., Bobalo, Y., and Beshley, H. (2022). Qoe-aware intelligent handover method for intent-based software-defined wireless network. In 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), pages 534–538.
Bittencourt, L., Immich, R., Sakellariou, R., Fonseca, N., Madeira, E., Curado, M., Villas, L., DaSilva, L., Lee, C., and Rana, O. (2018). The internet of things, fog and cloud continuum: Integration and challenges. Internet of Things, 3-4:134 – 155.
Cesário, H., Girao, G., Riker, A., Dalmazo, B., and Immich, R. (2022). Arquitetura para gerenciamento de dispositivos através de assistentes virtuais comandados por voz. In Anais do VI Workshop de Computação Urbana, pages 1–14, Porto Alegre, RS, Brasil. SBC.
Christou, F. (2022). Decentralized intent-driven coordination of multi-domain ip-optical networks. In 2022 18th International Conference on Network and Service Management (CNSM), pages 359–363.
Clemm, A., Ciavaglia, L., Granville, L. Z., and Tantsura, J. (2022). Intent-Based Networking - Concepts and Definitions.
Gama, E. S., Rodrigues-Filho, R., Madeira, E. R. M., Immich, R., and Bittencourt, L. F. (2024). Enabling adaptive video streaming via content steering on the edge-cloud continuum. In 2024 IEEE 8th International Conference on Fog and Edge Computing (ICFEC), pages 35–42.
Goścień, R. (2023). Traffic-aware service relocation in software-defined and intent-based elastic optical networks. Computer Networks, 225:109660.
Gupta, N., Das, D., K, T., Natarajan, U. M., Ravindran, S., Sharma, K., Bapat, J., and Das, D. (2025). A novel integrated architecture for intent based approach and zero touch networks. In Proceedings of IEEE FNWF.
Hermosilla, A., Martinez-Julia, P., Lopez, D. R., and Skarmeta, A. F. (2025). Multi-domain network intent policy enforcement. Computer Modeling in Engineering & Sciences, 145(3):4280–4316.
Hossain, M. K. and Aljoby, W. (2025). Netintent: Leveraging large language models for end-to-end intent-based sdn automation. IEEE Open Journal of the Communications Society.
Huanga, M. V. B., Ortiz, R. I. H., and Marca, J. D. A. (2022). Design and development of an intent-based intelligent network using machine learning for qos provisioning. In 2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), volume 6, pages 1–7.
Hurtado, R., Torres, M., Pintado, B., and Muñoz, A. (2023). Development of an Intent-Based Network Incorporating Machine Learning for Service Assurance of E-Commerce Online Stores. In Machine Learning for Networking (MLN 2022), pages 12–23. Springer Nature Switzerland AG.
Immich, R., Borges, P., Cerqueira, E., and Curado, M. (2015). Qoe-driven video delivery improvement using packet loss prediction. International Journal of Parallel, Emergent and Distributed Systems, 30(6):478–493.
Kanagarathinam, M. R., Kovvuri, J. R., Sandeep, I., and Godavarti, U. K. (2025). Intent-based l4s for ai-powered iot: A client-side implementation via ebpf.
Karakaya, E., Ercetin, O., Ozkan, H., Karaca, M., Biyar, E. D., and Palaios, A. (2024). Online learning for autonomous management of intent-based 6g networks.
Khan, T. A., Akbar, W., Muhammad, A., and Song, W.-C. (2022). Proactive intent policy activation: An ml-assisted resource forecasting approach. In 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS), pages 1–6.
Khan, T. A., Mehmood, A., Ravera, J. J. D., Muhammad, A., Abbas, K., and Song, W.-C. (2021a). Intent-based Networking Platform An Automated Approach for Policy and Configuration of Next-Generation Networks. In Proceedings of the 2021 ACM Symposium on Applied Computing (SAC ’21), pages 1–10.
Khan, T. A., Muhammad, A., Akbar, W., Mehmood, A., Rafiq, A., and Song, W. C. (2021b). Intent-based Networking Approach for Service Route and QoS control on KOREN SDI. In 2021 IEEE 7th International Conference on Network Softwarization (NetSoft), pages 24–30.
Leivadeas, A. and Falkner, M. (2023). Autonomous network assurance in intent based networking: Vision and challenges. In 2023 32nd International Conference on Computer Communications and Networks (ICCCN), pages 1–10.
Li, T., Yang, C., and Yang, L. (2022). Intent-Driven QoS-Aware Routing Management for Flying Ad hoc Networks. In 2022 International Wireless Communications and Mobile Computing (IWCMC), pages 1172–1177.
Li, X., Cai, Y., Wu, R., and Tian, J. (2024). Cloud-Network Resource Scheduling for ONAP-Based IDN. In Lecture Notes in Electrical Engineering (LNEE 1127), pages 39–52. Springer Nature Singapore Pte Ltd.
Lingga, P., Jeong, J. P., and Dunbar, L. (2024). ICSC: Intent-Based Closed-Loop Security Control System for Cloud-Based Security Services. IEEE Communications Magazine.
Ma, H., Ma, Y., and Wu, Y. (2025a). UINT: An intent-based adaptive routing architecture. Computer Networks, 257:110991.
Ma, Y., Zhang, P., Li, H., Zhao, Y., Ai, Y., and Liu, H. (2025b). Intent fuel station: A rag-enhanced agent hub for realizing networking intents. In 2nd Workshop on Networks for AI Computing (NAIC ’25). ACM.
Martini, B., Gharbaoui, M., and Castoldi, P. (2023). Intent-based network slicing for SDN vertical services with assurance: Context, design and preliminary experiments. Future Generation Computer Systems, 142:101–116.
Mehmood, K., Kralevska, K., and Palma, D. (2023). Knowledge Graph Embedding in Intent-Based Networking. In 2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), pages 181–186.
Mehmood, K., Kralevska, K., and Palma, D. (2024). Knowledge graph embedding in intent-based networking. In 2024 IEEE 10th International Conference on Network Softwarization (NetSoft), pages 13–18.
Meijer, A.-R., Boldrini, L., Koning, R., Hesselman, C., Grosso, P., Bazo, R., Albalawi, A., and Bos, H. (2022). User-driven Path Control through Intent-Based Networking. In Proceedings of the 2022 ACM/IEEE International Workshop on Network Dynamics (INDIS), pages 9–19.
Natarajan, U. M., Diddigi, R. B., and Bapat, J. (2025). Rag-inspired intent-based solution for intelligent autonomous networks. IEEE.
Ooi, S. E., Beuran, R., Tan, Y., Kuroda, T., Kuwahara, T., and Fujita, N. (2022). SecureWeaver: Intent-Driven Secure System Designer. In Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS ’22), pages 1–10.
Rivera, J. J. D., Khan, T. A., Akbar, W., Muhammad, A., Mehmood, A., and Song, W.-C. (2022). Automation of network anomaly detection and mitigation with the use of ibn: A deployment case on koren. Jeju, Republic of Korea. IEEE. Afiliação: Jeju National University [2].
Shi, Z., Zeng, Y., and Wu, Z. (2021). Service Chain Orchestration Based on Deep Reinforcement Learning in Intent-Based IoT. In Proceedings of the 9th International Conference on Computer Engineering and Networks, Advances in Intelligent Systems and Computing 1143, pages 875–882. Springer Nature Singapore Pte Ltd.
Silva, F. S. D., Bessa, A., Silva, S., Ferino, S., Paiva, P., Medeiros, M., Silva, L., Neto, J., Costa, K., Santos, C., Maciel, D., Silva, L., Inoue, A., Immich, R., Aranha, E., Martins, A., Sousa, V., Kulesza, U., Fernandes, M., Salvador, M., Pupio, G., Fontes, R., and Neto, A. (2023). Proactive ml-assisted and quality-driven slice application service management to keep qoe in 5g mobile networks. In 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), pages 182–184.
Silva, F. S. D., Silva, S. N., da Silva, L. M., Bessa, A., Ferino, S., Paiva, P., Medeiros, M., Silva, L., Neto, J., Costa, K., Santos, C., Aranha, E., Martins, A., Kulesza, U., Immich, R., Neto, A. V., Fontes, R., Sousa, V., and Fernandes, M. A. (2024). Ml-based inter-slice load balancing control for proactive offloading of virtual services. Computer Networks, 246:110422.
Sophocleous, M., Lessi, C., Xu, Z., Špaňhel, J., Qiu, R., Lendinez, A., Chondroulis, I., and Belikaidis, I. (2022). AI-Driven Intent-Based Networking for 5G Enhanced Robot Autonomy. In Maglogiannis, I., Psannis, K. E., Cosmas, J. P., Kampouridis, M. P., and Iliadis, L., editors, IFIP Advances in Information and Communication Technology (AIAI 2022 Workshops), pages 61–70. Springer Nature Switzerland AG.
Velasco, L., Signorelli, M., De Dios, O. G., Papagianni, C., Bifulco, R., Olmos, J. J. V., Pryor, S., Carrozzo, G., Schulz-Zander, J., Bennis, M., Martinez, R., Cugini, F., Salvadori, C., Lefebvre, V., Valcarenghi, L., and Ruiz, M. (2021). End-to-End Intent-Based Networking. IEEE Communications Magazine, 59(10):106–112.
Venkatesh, K., Krishnan, S. B., and Hussain, M. A. (2025). Enhancing end-user application performance with intention-based sdn in public networks.
Wu, C., Horiuchi, S., Murase, K., Kikushima, H., and Tayama, K. (2021). Intent-driven cloud resource design framework to meet cloud performance requirements and its application to a cloud-sensor system. Journal of Cloud Computing, 10(1).
Wu, C., Horiuchi, S., Murase, K., Kikushima, H., and Tayama, K. (2022). An Intent-driven DaaS Management Framework to Enhance User Quality of Experience. ACM Transactions on Internet Technology, 22(4):98:1–98:25.
Yu, H., Rahimi, H., Janz, C., Wang, D., Yang, C., and Zhao, Y. (2023). A Comprehensive Framework for Intent-Based Networking, Standards-Based and Open-Source. In NOMS 2023–2023 IEEE/IFIP Network Operations and Management Symposium, pages 1–6.
Alcock, P., Anand, R., Rotsos, C., and Race, N. (2024). Swift: Semantic web intent framework for intent translation.
Andreazi, G. T., Estrella, J. C., Bruschi, S. M., Immich, R., Guidoni, D., Alves Pereira Júnior, L., and Meneguette, R. I. (2021). Mohripa—an architecture for hybrid resources management of private cloud environments. Sensors, 21(20).
Andrushchak, V. S., Beshlei, M. I., and Maksymiuk, T. A. (2021). Intelligent traffic engineering for future intent-based software-defined transport network. In Klymash, M., Beshley, M., and Luntovskyy, A., editors, Future Intent-Based Networking: On the QoS Robust and ..., Lecture Notes in Electrical Engineering, pages 161–181. Springer, Cham.
Asif, M., Khan, T. A., and Song, W.-C. (2025). R-ibn: A reinforcement learning-based intent-driven framework for end-to-end service orchestration and optimization. Computer Networks, 270:111564.
Beshley, M., Kryvinska, N., and Beshley, H. (2023). Quality of service management method in a heterogeneous wireless network using Big Data technology and mobile QoE application. Simulation Modelling Practice and Theory, 127:102771.
Beshley, M., Medvetskyi, M., Jun, S., Pryslupskyi, A., Bobalo, Y., and Beshley, H. (2022). Qoe-aware intelligent handover method for intent-based software-defined wireless network. In 2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), pages 534–538.
Bittencourt, L., Immich, R., Sakellariou, R., Fonseca, N., Madeira, E., Curado, M., Villas, L., DaSilva, L., Lee, C., and Rana, O. (2018). The internet of things, fog and cloud continuum: Integration and challenges. Internet of Things, 3-4:134 – 155.
Cesário, H., Girao, G., Riker, A., Dalmazo, B., and Immich, R. (2022). Arquitetura para gerenciamento de dispositivos através de assistentes virtuais comandados por voz. In Anais do VI Workshop de Computação Urbana, pages 1–14, Porto Alegre, RS, Brasil. SBC.
Christou, F. (2022). Decentralized intent-driven coordination of multi-domain ip-optical networks. In 2022 18th International Conference on Network and Service Management (CNSM), pages 359–363.
Clemm, A., Ciavaglia, L., Granville, L. Z., and Tantsura, J. (2022). Intent-Based Networking - Concepts and Definitions.
Gama, E. S., Rodrigues-Filho, R., Madeira, E. R. M., Immich, R., and Bittencourt, L. F. (2024). Enabling adaptive video streaming via content steering on the edge-cloud continuum. In 2024 IEEE 8th International Conference on Fog and Edge Computing (ICFEC), pages 35–42.
Goścień, R. (2023). Traffic-aware service relocation in software-defined and intent-based elastic optical networks. Computer Networks, 225:109660.
Gupta, N., Das, D., K, T., Natarajan, U. M., Ravindran, S., Sharma, K., Bapat, J., and Das, D. (2025). A novel integrated architecture for intent based approach and zero touch networks. In Proceedings of IEEE FNWF.
Hermosilla, A., Martinez-Julia, P., Lopez, D. R., and Skarmeta, A. F. (2025). Multi-domain network intent policy enforcement. Computer Modeling in Engineering & Sciences, 145(3):4280–4316.
Hossain, M. K. and Aljoby, W. (2025). Netintent: Leveraging large language models for end-to-end intent-based sdn automation. IEEE Open Journal of the Communications Society.
Huanga, M. V. B., Ortiz, R. I. H., and Marca, J. D. A. (2022). Design and development of an intent-based intelligent network using machine learning for qos provisioning. In 2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), volume 6, pages 1–7.
Hurtado, R., Torres, M., Pintado, B., and Muñoz, A. (2023). Development of an Intent-Based Network Incorporating Machine Learning for Service Assurance of E-Commerce Online Stores. In Machine Learning for Networking (MLN 2022), pages 12–23. Springer Nature Switzerland AG.
Immich, R., Borges, P., Cerqueira, E., and Curado, M. (2015). Qoe-driven video delivery improvement using packet loss prediction. International Journal of Parallel, Emergent and Distributed Systems, 30(6):478–493.
Kanagarathinam, M. R., Kovvuri, J. R., Sandeep, I., and Godavarti, U. K. (2025). Intent-based l4s for ai-powered iot: A client-side implementation via ebpf.
Karakaya, E., Ercetin, O., Ozkan, H., Karaca, M., Biyar, E. D., and Palaios, A. (2024). Online learning for autonomous management of intent-based 6g networks.
Khan, T. A., Akbar, W., Muhammad, A., and Song, W.-C. (2022). Proactive intent policy activation: An ml-assisted resource forecasting approach. In 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS), pages 1–6.
Khan, T. A., Mehmood, A., Ravera, J. J. D., Muhammad, A., Abbas, K., and Song, W.-C. (2021a). Intent-based Networking Platform An Automated Approach for Policy and Configuration of Next-Generation Networks. In Proceedings of the 2021 ACM Symposium on Applied Computing (SAC ’21), pages 1–10.
Khan, T. A., Muhammad, A., Akbar, W., Mehmood, A., Rafiq, A., and Song, W. C. (2021b). Intent-based Networking Approach for Service Route and QoS control on KOREN SDI. In 2021 IEEE 7th International Conference on Network Softwarization (NetSoft), pages 24–30.
Leivadeas, A. and Falkner, M. (2023). Autonomous network assurance in intent based networking: Vision and challenges. In 2023 32nd International Conference on Computer Communications and Networks (ICCCN), pages 1–10.
Li, T., Yang, C., and Yang, L. (2022). Intent-Driven QoS-Aware Routing Management for Flying Ad hoc Networks. In 2022 International Wireless Communications and Mobile Computing (IWCMC), pages 1172–1177.
Li, X., Cai, Y., Wu, R., and Tian, J. (2024). Cloud-Network Resource Scheduling for ONAP-Based IDN. In Lecture Notes in Electrical Engineering (LNEE 1127), pages 39–52. Springer Nature Singapore Pte Ltd.
Lingga, P., Jeong, J. P., and Dunbar, L. (2024). ICSC: Intent-Based Closed-Loop Security Control System for Cloud-Based Security Services. IEEE Communications Magazine.
Ma, H., Ma, Y., and Wu, Y. (2025a). UINT: An intent-based adaptive routing architecture. Computer Networks, 257:110991.
Ma, Y., Zhang, P., Li, H., Zhao, Y., Ai, Y., and Liu, H. (2025b). Intent fuel station: A rag-enhanced agent hub for realizing networking intents. In 2nd Workshop on Networks for AI Computing (NAIC ’25). ACM.
Martini, B., Gharbaoui, M., and Castoldi, P. (2023). Intent-based network slicing for SDN vertical services with assurance: Context, design and preliminary experiments. Future Generation Computer Systems, 142:101–116.
Mehmood, K., Kralevska, K., and Palma, D. (2023). Knowledge Graph Embedding in Intent-Based Networking. In 2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), pages 181–186.
Mehmood, K., Kralevska, K., and Palma, D. (2024). Knowledge graph embedding in intent-based networking. In 2024 IEEE 10th International Conference on Network Softwarization (NetSoft), pages 13–18.
Meijer, A.-R., Boldrini, L., Koning, R., Hesselman, C., Grosso, P., Bazo, R., Albalawi, A., and Bos, H. (2022). User-driven Path Control through Intent-Based Networking. In Proceedings of the 2022 ACM/IEEE International Workshop on Network Dynamics (INDIS), pages 9–19.
Natarajan, U. M., Diddigi, R. B., and Bapat, J. (2025). Rag-inspired intent-based solution for intelligent autonomous networks. IEEE.
Ooi, S. E., Beuran, R., Tan, Y., Kuroda, T., Kuwahara, T., and Fujita, N. (2022). SecureWeaver: Intent-Driven Secure System Designer. In Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS ’22), pages 1–10.
Rivera, J. J. D., Khan, T. A., Akbar, W., Muhammad, A., Mehmood, A., and Song, W.-C. (2022). Automation of network anomaly detection and mitigation with the use of ibn: A deployment case on koren. Jeju, Republic of Korea. IEEE. Afiliação: Jeju National University [2].
Shi, Z., Zeng, Y., and Wu, Z. (2021). Service Chain Orchestration Based on Deep Reinforcement Learning in Intent-Based IoT. In Proceedings of the 9th International Conference on Computer Engineering and Networks, Advances in Intelligent Systems and Computing 1143, pages 875–882. Springer Nature Singapore Pte Ltd.
Silva, F. S. D., Bessa, A., Silva, S., Ferino, S., Paiva, P., Medeiros, M., Silva, L., Neto, J., Costa, K., Santos, C., Maciel, D., Silva, L., Inoue, A., Immich, R., Aranha, E., Martins, A., Sousa, V., Kulesza, U., Fernandes, M., Salvador, M., Pupio, G., Fontes, R., and Neto, A. (2023). Proactive ml-assisted and quality-driven slice application service management to keep qoe in 5g mobile networks. In 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), pages 182–184.
Silva, F. S. D., Silva, S. N., da Silva, L. M., Bessa, A., Ferino, S., Paiva, P., Medeiros, M., Silva, L., Neto, J., Costa, K., Santos, C., Aranha, E., Martins, A., Kulesza, U., Immich, R., Neto, A. V., Fontes, R., Sousa, V., and Fernandes, M. A. (2024). Ml-based inter-slice load balancing control for proactive offloading of virtual services. Computer Networks, 246:110422.
Sophocleous, M., Lessi, C., Xu, Z., Špaňhel, J., Qiu, R., Lendinez, A., Chondroulis, I., and Belikaidis, I. (2022). AI-Driven Intent-Based Networking for 5G Enhanced Robot Autonomy. In Maglogiannis, I., Psannis, K. E., Cosmas, J. P., Kampouridis, M. P., and Iliadis, L., editors, IFIP Advances in Information and Communication Technology (AIAI 2022 Workshops), pages 61–70. Springer Nature Switzerland AG.
Velasco, L., Signorelli, M., De Dios, O. G., Papagianni, C., Bifulco, R., Olmos, J. J. V., Pryor, S., Carrozzo, G., Schulz-Zander, J., Bennis, M., Martinez, R., Cugini, F., Salvadori, C., Lefebvre, V., Valcarenghi, L., and Ruiz, M. (2021). End-to-End Intent-Based Networking. IEEE Communications Magazine, 59(10):106–112.
Venkatesh, K., Krishnan, S. B., and Hussain, M. A. (2025). Enhancing end-user application performance with intention-based sdn in public networks.
Wu, C., Horiuchi, S., Murase, K., Kikushima, H., and Tayama, K. (2021). Intent-driven cloud resource design framework to meet cloud performance requirements and its application to a cloud-sensor system. Journal of Cloud Computing, 10(1).
Wu, C., Horiuchi, S., Murase, K., Kikushima, H., and Tayama, K. (2022). An Intent-driven DaaS Management Framework to Enhance User Quality of Experience. ACM Transactions on Internet Technology, 22(4):98:1–98:25.
Yu, H., Rahimi, H., Janz, C., Wang, D., Yang, C., and Zhao, Y. (2023). A Comprehensive Framework for Intent-Based Networking, Standards-Based and Open-Source. In NOMS 2023–2023 IEEE/IFIP Network Operations and Management Symposium, pages 1–6.
Publicado
19/07/2026
Como Citar
SOUZA, Pedro I. S. de; OLIVEIRA, Helder; KREUTZ, Diego; CACHO, Nelio; NETO, Augusto; IMMICH, Roger.
Redes Baseadas em Intenção: Análise de Abordagens e Taxonomia Hierárquica Multidimensional. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 18. , 2026, Gramado/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 373-387.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2026.23420.
