ViSPAC: Priorização e compressão adaptativa guiadas por NEWS2 em um ciclo Edge–Fog–Cloud avaliado na AWS
Resumo
O monitoramento remoto de sinais vitais gera fluxos contínuos de dados que frequentemente sobrecarregam redes e dispositivos de borda. Este artigo apresenta o ViSPAC, um modelo em ciclo fechado Edge–Fog–Cloud que utiliza o National Early Warning Score 2 (NEWS2) para adaptar dinamicamente a amostragem e a compressão na borda, com base no risco clínico do paciente. Avaliado em um ambiente distribuído na Amazon Web Services (AWS), o ViSPAC demonstrou uma redução de 96,7% nas transmissões e alcançou 81,6% de compressão média. O modelo preservou a fidelidade clínica, mantendo o Percent Root-mean-square Difference (PRD) global em 1,16%, com uma latência no ciclo de controle de aproximadamente 1,05 s.Referências
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Royal College of Physicians (2017). National Early Warning Score (NEWS) 2: standardising the assessment of acute-illness severity in the NHS. Royal College of Physicians, London. Updated report of a working party.
Andrade, A., da Costa, C. A., Roehrs, A., Muchaluat-Saade, D., and da Rosa Righi, R. (2025). Blending lossy and lossless data compression methods to support health data streaming in smart cities. Future Generation Computer Systems, 167:107748.
Banks, A. and Gupta, R. (2014). Mqtt version 3.1.1. Technical report, OASIS. OASIS Standard.
Bonomi, F., Milito, R., Zhu, J., and Addepalli, S. (2012). Fog computing and its role in the internet of things. In First Edition of the MCC Workshop on Mobile Cloud Computing, pages 13–16. Association for Computing Machinery.
Braden, R. T. (1989). Requirements for internet hosts - communication layers. Technical Report 1122, RFC Editor. Request for Comments.
Bristol, E. H. (1990). Swinging door trending: adaptive trend recording. In ISA National Conference, pages 749–753.
Chang, Y. and Sobelman, G. E. (2024). Lightweight lossy/lossless ecg compression for medical iot systems. IEEE Internet of Things Journal, 11(7):12450–12458.
Damera, V. K., Cheripelli, R., Putta, N., Sirisha, G., and Kalavala, D. (2025). Enhancing remote patient monitoring with ai-driven iomt and cloud computing technologies. Scientific Reports, 15(1):24088.
Friesel, D. and Spinczyk, O. (2021). Data serialization formats for the internet of things. Electronic Communications of the EASST, 80.
Hassan, A. M. A. and Mohsen, S. (2024). Compression of electrocardiogram signals using compressive sensing technique based on curvelet transform toward medical applications. Multimedia Tools and Applications, 84(12):11203–11219.
Royal College of Physicians (2017). National Early Warning Score (NEWS) 2: standardising the assessment of acute-illness severity in the NHS. Royal College of Physicians, London. Updated report of a working party.
Publicado
19/07/2026
Como Citar
ROVEDA, Mateus; RIGHI, Rodrigo da Rosa.
ViSPAC: Priorização e compressão adaptativa guiadas por NEWS2 em um ciclo Edge–Fog–Cloud avaliado na AWS. In: SIMPÓSIO DE INFRAESTRUTURA DIGITAL/NUVEM PARA PESQUISA (PESQUISA@NUVEM), 1. , 2026, Gramado/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 96-103.
DOI: https://doi.org/10.5753/pesquisanuvem.2026.21287.
