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On Architecture of BodyInNumbers Exercise and Wellness Health Strategy Framework

Published: 15 October 2020 Publication History

Abstract

They are many risk factors decreasing overall human physical and cognitive performance and increasing incidence of chronic diseases. It is very beneficial for any society to map, discuss and cope with these factors. This can be supported and evaluated by designing, developing, testing and using suitable self-management health systems. One of these systems is the BodyInNumbers exercise and wellness health strategy framework that allows experimenters to collect various heterogeneous health related data in a highly organized and efficient way. Thanks to its success and daily use, new requirements related to better security, scalability and maintainability of its architecture have emerged. The aim of this work is to present advances and changes in the architecture of the BodyInNumbers health strategy framework mainly focusing on new definition of user roles, optimization of the system deployment, and orchestration of the system components. As a proof of concept, a Kubernetes cluster prototype has been used to demonstrate the improved architectural solution.

References

[1]
Brůha, P., Mouček, R., Šnejdar, P., Bohmann, D., Kraft, V., and Řehoř, P. 2017. Exercise and wellness health strategy framework. BIOSTEC 2017, pages 477--483.
[2]
Brůha, P., Mouček, R., Šnejdar, P., Vařeka, L., Kraft, V., and Řehoř, P. 2018. Advances in building bodyinnumbers exercise and wellness health strategy framework. BIOSTEC 2018, pages 548--554.
[3]
Bustamante, C., Alcayaga, C., Lange, I., and Inigo, M. 2012. SIGSAC Software: A tool for the Management of Chronic Disease and Telecare. Nursing informatics 2012: proceedings of the 11th International Congress on Nursing Informatics, 2012:56.
[4]
Brůha, P., Mouček, R., Vacek, V.,Šnejdar, P., Černá, K., and Řehoř, P. 2018. Collection of human reaction times and supporting health related data for analysis of cognitive and physical performance. Data in Brief, 17.
[5]
Silva, A. 2015. Model-driven engineering: A survey supported by A unified conceptual model. Computer Languages, Systems & Structures, 20.
[6]
Fleurey, F., Breton, E., Baudry, B., Nicolas, A., and Jézéquel, J.-M. 2007. Model-Driven Engineering for Software Migration in a Large Industrial Context. InMoDELS'07, volume 4735.
[7]
Rensin, D. K. 2015. Kubernetes. page 3.
[8]
Gawel, M. and Zielinski, K. 2019. Analysis and evaluation of kubernetes based nfv management and orchestration. In 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), pages 511--513.
[9]
Muralidharan, S., Song, G., and Ko, H. 2019. Monitoring and managing iot applications in smart cities using kubernetes. CLOUD COMPUTING 2019, page 11.
[10]
Thurgood, B. and Lennon, R. 2019. Cloud Computing With Kubernetes Cluster Elastic Scaling. pages 1--7.

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  1. On Architecture of BodyInNumbers Exercise and Wellness Health Strategy Framework

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            ICMHI '20: Proceedings of the 4th International Conference on Medical and Health Informatics
            August 2020
            316 pages
            ISBN:9781450377768
            DOI:10.1145/3418094
            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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            • University of Tsukuba: University of Tsukuba

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            New York, NY, United States

            Publication History

            Published: 15 October 2020

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            Author Tags

            1. body in numbers software system
            2. brain data
            3. cognitive performance
            4. data security
            5. health information systems
            6. health related data
            7. physical performance
            8. software architecture

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