A fog-computing architecture for preventive healthcare and assisted living in smart ambients

Cerina, Luca; Notargiacomo, Sara; Paccanit, Matteo GrecoLuca; Santambrogio, Marco D.

doi:10.1109/rtsi.2017.8065939

Cited by 61 publications

(22 citation statements)

References 18 publications

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“…According to this modern vision, a flexible multi-level architecture based on a computing paradigm in which heterogeneous devices at the edge of the network collect data, compute a task with minimal latency, and produce physical actions meaningful for the user, has been proposed and tested in [10]. In the same direction, the authors of [11] proposed another IoT enabled healthcare system architecture which benefits from the concept of fog computing providing advanced techniques and services such as embedded data mining, distributed storage, and notification service at the edge of a network.…”

Section: Related Workmentioning

confidence: 99%

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

Pace

Aloi

Gravina

et al. 2019

IEEE Trans. Ind. Inf.

330

117

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Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard Cloud-based approaches to reduce the interaction timing and the huge amount of data coming from IoT devices toward the Internet. In the next future, Edge-based approaches will be essential to support time-dependent applications in the Industry 4.0 context; thus, the paper proposes BodyEdge, a novel architecture well suited for human-centric applications, in the context of the emerging healthcare industry. It consists of a tiny mobile client module and a performing Edge gateway supporting multi-radio and multi-technology communication to collect and locally process data coming from different scenarios; moreover, it also exploits the facilities made available from both private and public Cloud platforms to guarantee a high flexibility, robustness and adaptive service level. The advantages of the designed software platform have been evaluated in terms of reduced transmitted data and processing time through a real implementation on different hardware platforms. The conducted study also highlighted the network conditions (data load and processing delay) in which BodyEdge is a valid and inexpensive solution for healthcare application scenarios.

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Section: Related Workmentioning

confidence: 99%

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

Pace

Aloi

Gravina

et al. 2019

IEEE Trans. Ind. Inf.

330

117

View full text Add to dashboard Cite

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“…Outros trabalhos integram os conceitos de IoT e de computação fog para tratar problemas ligados ao monitoramento e o acompanhamento de pacientes em domicílio. Apesar disso, alguns problemas ligadosà implantação e ao desenvolvimento dos sistemas IoT para aárea de saúde ainda precisam ser solucionados, em especial, a privacidade, o tempo de resposta, a segurança dos dados dos pacientes monitorados [Cerina et al 2017, Malik et al 2018, Gia et al 2015. Além disso, outras questões em aberto se relacionamà implantação do sistema no ambiente domiciliar do paciente, que na maioria das vezesé gerenciado por um operador de saúde ou por algum familiar, ou seja, por pessoas que não habituadas ou treinadas para gerir os sistemas robustos propostos.…”

Section: Trabalhos Relacionadosunclassified

HealthDash: Monitoramento remoto de pacientes utilizando programação baseada em fluxo de dados

Celestrini

Rocha

Santos

et al. 2019

Anais Do Simpósio Brasileiro De Computação Aplicada À Saúde (SBCAS 2019)

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In this paper, we propose HealthDash, a framework for developing IoT solutions for health care. HealthDash employs the data-flow-oriented programming paradigm, from the cloud layer to the network edge (fog layer), unifying development technologies across layers, that is, from edge devices to decision making. We conducted an experiment to evaluate the proposal with the simulation of the transmission of data collected from home-monitored patients with chronic diseases. In the simulation, we observed the performance of the two implemented solutions to both continuous and event-based scenarios of data transmission. The results showed that HealthDash solution provides flexible infrastructure, consuming less bandwidth and spending little response time.Resumo. Neste artigo, propomos o HealthDash, um arcabouço para o desenvolvimento de soluções IoT para saúde. O HealthDash emprega o paradigma de programação orientado a fluxo de dados, desde camada cloudà borda da rede (camada fog), unificando tecnologias de desenvolvimento em todas as camadas, istoé, dos dispositivos de bordaà tomada de decisão. Para validar a proposta, foi conduzido um experimento que simulou a transmissão de dados de pacientes crônicos monitorados em domicílio, considerando dois modos de envio: transmissão contínua de dados e transmissão de dados baseada em eventos. O experimento mostrou que a solução proposta fornece infraestrutura flexível, consumindo menos largura de banda e menos tempo de resposta. IntroduçãoMelhorar a qualidade de vida de pacientes com doenças crônicas e reduzir os custos com saúde são metas perseguidas pelos sistemas de saúde em todo mundo. Uma das soluções mais conhecidas para este fim se baseia no monitoramento remoto dos pacientes, que possibilita o acompanhamento da condição de saúde do indivíduo e a conformidade com o tratamento fora do ambiente hospitalar. Todavia, os procedimentos para o monitoramento, o cuidado e a supervisão de pacientes com doenças crônicas são frequentemente executados por uma equipe de saúde especializada, mas ainda de forma pouco automatizada.

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“…This is the duty of the fog to command the end devices for the receiving of the calculated results and control them. With regard to the location awareness, the Fog architecture can be used to build models enhanced by this information, or to produce specific outcomes (like the location of injured subjects or the movement of crowds inside an ambient) [18]. C. Core Service: Fog must perform storage and processing.…”

Section: The Duty Of Fog Computingmentioning

confidence: 99%

From Cloud Computing to Fog Computing (C2F): The key technology provides services in health care big data

et al. 2018

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Because of the broad utilization of web-based social networking, data is produces by the fast increment. Big Data is giving the office to accumulate, store, oversee and examine information in colossal volume that is produced through the healthcare system. Cloud Computing is an advancement too that insures the fulfillment of IT requirements in a suitable way by providing the cloud-based environment for medical field. Storage is an immense issue for BD, volume of data is huge, this issue may resolve with the help of cloud computing by providing the storage space for data and processing mechanism as well. This paper presents these thoughts with respects to medicinal services. It tells regarding the points of interest, yet in addition challenges conveyed by Big Data to this field. It additionally talks about the idea of fog computing, some advantages of edge computing on cloud computing and deliberate the architecture of fog computing for healthcare and services provides by that architecture.

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A fog-computing architecture for preventive healthcare and assisted living in smart ambients

Cited by 61 publications

References 18 publications

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

HealthDash: Monitoramento remoto de pacientes utilizando programação baseada em fluxo de dados

From Cloud Computing to Fog Computing (C2F): The key technology provides services in health care big data

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