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A Distributed Data Mesh Paradigm for an Event-based Smart Communities Monitoring Product
The recent pandemic events in Thailand, Covid-19 in 2018, demonstrated the need for an event-based smart monitoring system. While a distributed multi-level architecture has emerged as an architecture of choice for a larger-scale smart event-based system that requires better latency, security, scalab...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110347/ https://www.ncbi.nlm.nih.gov/pubmed/37089762 http://dx.doi.org/10.1016/j.procs.2023.03.074 |
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author | Pongpech, Worapol Alex |
author_facet | Pongpech, Worapol Alex |
author_sort | Pongpech, Worapol Alex |
collection | PubMed |
description | The recent pandemic events in Thailand, Covid-19 in 2018, demonstrated the need for an event-based smart monitoring system. While a distributed multi-level architecture has emerged as an architecture of choice for a larger-scale smart event-based system that requires better latency, security, scalability, and reliability, a recently introduced data mesh paradigm can add a few additional benefits. The paradigm enables each district to become an event-based smart monitoring mesh and handle its analytics and monitoring workload. Districts can form a set of domains in a network of event-based smart community monitoring systems and provide data products for others during a crisis. This paper presents a distributed data mesh paradigm for an event-based smart monitoring product in a given community with predefined domains. The paper presents smart monitoring as a data product between domains. Key considerations for designing an event-based smart monitoring data product are given. The author introduces three possible domains necessary for creating a smart monitoring system in each community. Each domain creates a data product for a given domain and shares data between domains. Finally, a three-layer analytics architecture for a smart monitoring product in each domain and a use case is presented. |
format | Online Article Text |
id | pubmed-10110347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101103472023-04-18 A Distributed Data Mesh Paradigm for an Event-based Smart Communities Monitoring Product Pongpech, Worapol Alex Procedia Comput Sci Article The recent pandemic events in Thailand, Covid-19 in 2018, demonstrated the need for an event-based smart monitoring system. While a distributed multi-level architecture has emerged as an architecture of choice for a larger-scale smart event-based system that requires better latency, security, scalability, and reliability, a recently introduced data mesh paradigm can add a few additional benefits. The paradigm enables each district to become an event-based smart monitoring mesh and handle its analytics and monitoring workload. Districts can form a set of domains in a network of event-based smart community monitoring systems and provide data products for others during a crisis. This paper presents a distributed data mesh paradigm for an event-based smart monitoring product in a given community with predefined domains. The paper presents smart monitoring as a data product between domains. Key considerations for designing an event-based smart monitoring data product are given. The author introduces three possible domains necessary for creating a smart monitoring system in each community. Each domain creates a data product for a given domain and shares data between domains. Finally, a three-layer analytics architecture for a smart monitoring product in each domain and a use case is presented. The Author(s). Published by Elsevier B.V. 2023 2023-04-17 /pmc/articles/PMC10110347/ /pubmed/37089762 http://dx.doi.org/10.1016/j.procs.2023.03.074 Text en © 2023 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Pongpech, Worapol Alex A Distributed Data Mesh Paradigm for an Event-based Smart Communities Monitoring Product |
title | A Distributed Data Mesh Paradigm for an Event-based Smart Communities Monitoring Product |
title_full | A Distributed Data Mesh Paradigm for an Event-based Smart Communities Monitoring Product |
title_fullStr | A Distributed Data Mesh Paradigm for an Event-based Smart Communities Monitoring Product |
title_full_unstemmed | A Distributed Data Mesh Paradigm for an Event-based Smart Communities Monitoring Product |
title_short | A Distributed Data Mesh Paradigm for an Event-based Smart Communities Monitoring Product |
title_sort | distributed data mesh paradigm for an event-based smart communities monitoring product |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110347/ https://www.ncbi.nlm.nih.gov/pubmed/37089762 http://dx.doi.org/10.1016/j.procs.2023.03.074 |
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