Pongpech Worapol Alex
NIDA, Seri Thai Rd, Bangkok 10110, Thailand.
Procedia Comput Sci. 2023;220:584-591. doi: 10.1016/j.procs.2023.03.074. Epub 2023 Apr 17.
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.
泰国近期发生的疫情事件,即2018年的新冠疫情,表明了对基于事件的智能监测系统的需求。虽然分布式多级架构已成为需要更好的延迟、安全性、可扩展性和可靠性的大规模基于智能事件的系统的首选架构,但最近引入的数据网格范式可以带来一些额外的好处。该范式使每个地区都能成为基于事件的智能监测网格,并处理其分析和监测工作负载。各地区可以在基于事件的智能社区监测系统网络中形成一组域,并在危机期间为其他地区提供数据产品。本文提出了一种针对具有预定义域的特定社区中基于事件的智能监测产品的分布式数据网格范式。本文将智能监测呈现为域之间的数据产品。给出了设计基于事件的智能监测数据产品的关键考虑因素。作者介绍了在每个社区创建智能监测系统所需的三个可能的域。每个域为给定的域创建一个数据产品,并在域之间共享数据。最后,给出了每个域中智能监测产品的三层分析架构和一个用例。