Uma Proposta de Arquitetura para Virtualização de Sensores Multimídia na Borda da Rede
Resumo
Com a proliferação do uso de câmeras e microfones na IoT, o gerenciamento de fluxos multimídia tornou-se um desafio. Aplicações que consomem dados discretos tipicamente virtualizam seus sensores na Cloud. Já as aplicações multimídia consomem dados contínuos, são sensíveis à latência e, com o aumento das capacidades de computação na borda da rede e por sua proximidade aos sensores multimídia, a borda tornou-se um local privilegiado para o gerenciamento de fluxos multimídia. Neste trabalho propomos V-PRISM, uma arquitetura para virtualizar sensores multimídia implantada na borda. Sua adoção reduz o consumo de recursos dos dispositivos e rede IoT, reduz o atraso fim-a-fim e aumenta o ROI para provedores de infraestrutura.
Palavras-chave:
Sensor Virtual Multimídia, Internet das Coisas, Computação na Borda
Referências
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Calbimonte, J. P., Jeung, H., Corcho, O. and Aberer, K. (2011). Semantic sensor data search in alarge scale federated sensor network. CEUR Workshop Proceedings, v. 839, p. 23-38.
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Islam, M. M., Hassan, M. M., Lee, G.-W. and Huh, E.-N. (15 feb 2012). A Survey on Virtualization of Wireless Sensor Networks. Sensors, v. 12, n. 2, p. 2175-2207.
Khansari, M. E., Sharifian, S. and Motamedi, S. A. (2018). Virtual sensor as a service: a new multicriteria QoS-aware cloud service composition for IoT applications. Journal of Supercomputing, v. 74, n. 10, p. 5485-5512.
Kovacs, E., Bauer, M., Kim, J., et al. (2016). Standards-Based Worldwide Semantic Interoperability for IoT. [EEE Communications Magazine, v. 54, n. 12, p. 40-46.
Kulkarni, P., Ganesan, D., Shenoy, P. and Lu, Q. (2005). SensEye: A Multi-tier Camera Sensor Network. In ACM Multimedia. ACM Press.
Li, W., Santos, I., Delicato, F. C., et al. (2017). System modelling and performance evaluation of a three-tier Cloud of Things. Future Generation Computer Systems, v. 70, p. 104-125.
Morabito, R. (2017). Virtualization on internet of things edge devices with container technologies: A performance evaluation. IEEE Access, v. 5, p. 8835-8850.
Mukherjee, M., Shu, L. and Wang, D. (2018). Survey of fog computing: Fundamental, network applications, and research challenges. IEEE Comm Surveys and Tutorials, v. 20, n. 3, p. 1826-1857.
Pattaranantakul, M., He, R., Song, Q., Zhang, Z. and Meddahi, A. (2018). Nfv security survey: From use case driven threat analysis to state-of-the-art counter measures. IEEE Communications Surveys and Tutorials, v. 20, n. 4, p. 3330-3368.
Santos, F. and Guerra, R. (2015). OSIRIS Framework : construindo sistemas de monitoramento com redes de sensores sem fio para compartilhar dados. In XXXIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC), Vitória.
Santos, I. L., Pirmez, L., Delicato, F. C., Khan, S. U. and Zomaya, A. Y. (2015). Olympus: The cloud of sensors. IEEE Cloud Computing, v. 2, n. 2, p. 48-56.
Xavier, B., Ferreto, T. and Jersak, L. (2016). Time Provisioning Evaluation of KVM, Dockerand Unikernels in a Cloud Platform. CCGrid 2016, p. 277-280.
Zaslavsky, A., Perera, C. and Georgakopoulos, D. (2013). Sensing as a Service and Big Data.Proceedings of the International Conference on Advances in Cloud Computing, n. May 2014.
Alves, M. P., Delicato, F. C., Santos, I. L. and Pires, P. F. (7 mar 2020). LW-CoEdge: alightweight virtualization model and collaboration process for edge computing. World Wide Web, v. 23, n. 2, p. 1127-1175.
Alvi, S. A., Afzal, B., Shah, G. A., Atzori, L. and Mahmood, W. (2015). Internet of multimedia things: Vision and challenges. Ad Hoc Networks, v. 33, n. May.
Barnett, T., Jain, J. S., Usha, A. and Khurana, T. (2018). Cisco Visual Networking Index ( VNI) Complete Forecast Update , 2017 - 2022.
Botta, A., De Donato, W., Persico, V. and Pescapé, A. (2016). Integration of Cloud computing and Internet of Things: A survey. Future Generation Computer Systems, v. 56, p. 684-700.
Calbimonte, J. P., Jeung, H., Corcho, O. and Aberer, K. (2011). Semantic sensor data search in alarge scale federated sensor network. CEUR Workshop Proceedings, v. 839, p. 23-38.
FIWARE (2019). About us. https://www.fiware.org/about-us/, [accessed on Dec 6].
Islam, M. M., Hassan, M. M., Lee, G.-W. and Huh, E.-N. (15 feb 2012). A Survey on Virtualization of Wireless Sensor Networks. Sensors, v. 12, n. 2, p. 2175-2207.
Khansari, M. E., Sharifian, S. and Motamedi, S. A. (2018). Virtual sensor as a service: a new multicriteria QoS-aware cloud service composition for IoT applications. Journal of Supercomputing, v. 74, n. 10, p. 5485-5512.
Kovacs, E., Bauer, M., Kim, J., et al. (2016). Standards-Based Worldwide Semantic Interoperability for IoT. [EEE Communications Magazine, v. 54, n. 12, p. 40-46.
Kulkarni, P., Ganesan, D., Shenoy, P. and Lu, Q. (2005). SensEye: A Multi-tier Camera Sensor Network. In ACM Multimedia. ACM Press.
Li, W., Santos, I., Delicato, F. C., et al. (2017). System modelling and performance evaluation of a three-tier Cloud of Things. Future Generation Computer Systems, v. 70, p. 104-125.
Morabito, R. (2017). Virtualization on internet of things edge devices with container technologies: A performance evaluation. IEEE Access, v. 5, p. 8835-8850.
Mukherjee, M., Shu, L. and Wang, D. (2018). Survey of fog computing: Fundamental, network applications, and research challenges. IEEE Comm Surveys and Tutorials, v. 20, n. 3, p. 1826-1857.
Pattaranantakul, M., He, R., Song, Q., Zhang, Z. and Meddahi, A. (2018). Nfv security survey: From use case driven threat analysis to state-of-the-art counter measures. IEEE Communications Surveys and Tutorials, v. 20, n. 4, p. 3330-3368.
Santos, F. and Guerra, R. (2015). OSIRIS Framework : construindo sistemas de monitoramento com redes de sensores sem fio para compartilhar dados. In XXXIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC), Vitória.
Santos, I. L., Pirmez, L., Delicato, F. C., Khan, S. U. and Zomaya, A. Y. (2015). Olympus: The cloud of sensors. IEEE Cloud Computing, v. 2, n. 2, p. 48-56.
Xavier, B., Ferreto, T. and Jersak, L. (2016). Time Provisioning Evaluation of KVM, Dockerand Unikernels in a Cloud Platform. CCGrid 2016, p. 277-280.
Zaslavsky, A., Perera, C. and Georgakopoulos, D. (2013). Sensing as a Service and Big Data.Proceedings of the International Conference on Advances in Cloud Computing, n. May 2014.
Publicado
07/12/2020
Como Citar
BATTISTI, Anselmo; MUCHALUAT-SAADE, Débora Christina; DELICATO, Flávia C..
Uma Proposta de Arquitetura para Virtualização de Sensores Multimídia na Borda da Rede. In: WORKSHOP DE GERÊNCIA E OPERAÇÃO DE REDES E SERVIÇOS (WGRS), 25. , 2020, Rio de Janeiro.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 235-248.
ISSN 2595-2722.
DOI: https://doi.org/10.5753/wgrs.2020.12464.
