In recent decades, it has become a significant tendency for industrial manufacturers to adopt decentralization as a new manufacturing paradigm. This enables more efficient operations and facilitates the shift from mass to customized production. At the same time, advances in data analytics give more insights into the production lines, thus improving its overall productivity. The primary objective of this paper is to apply a decentralized architecture to address new challenges in industrial analytics. The main contributions of this work are therefore two-fold: (1) an assessment of the microservices’ feasibility in industrial environments, and (2) a microservices-based architecture for industrial data analytics. Also, a prototype has been developed, analyzed, and evaluated, to provide further practical insights. Initial evaluation results of this prototype underpin the adoption of microservices in industrial analytics with less than 20ms end-to-end processing latency for predicting movement paths for 100 autonomous robots on a commodity hardware server. However, it also identifies several drawbacks of the approach, which is, among others, the complexity in structure, leading to higher resource consumption.
In @cite_6 , the authors propose a microservice-based reference architecture for the . In this architecture, there are six main components, which are Visualization (dashboard tools to interact with users), Calculation and Storage (provides aggregated information for Visualization layer), Data Transport and Integration (builds a common communication infrastructure for all services), Data Provider (feeds data to the system), Data Adapter (convert received data into readable formats) and Operation (contains services that ease operating and monitoring the application). This architecture is a basic design, as it is built to exploit most prominent advantages of microservice: high level of isolation between services, robust again complete system failure, and the support for the integration of heterogeneous systems. However, this architecture again does not address the scalability of a microservice-based application.
@cite_6
2035192272
In our former work we proposed a micro service-based reference architecture for Enterprise Measurement Infrastructures (EMI) which received encouraging feedback. The reference architecture supports the systematic development of measurement systems. This paper provides deeper insight into the application of the reference architecture by presenting the results of two field studies after an examination of the most important requirements that drove the development of the reference architecture. The two selected field studies were conducted with large cooperation partners from industry and research and addressed real problems. Using our reference architecture, development process, and requirements gathering techniques we were able to successfully build the EMIs presented in this paper. These results further ease the application of micro service inside our reference architecture and support practitioners with specific examples.