A Microservice-Based Architecture for Flexible Data Acquisition at the Edge in the Context of Hairpin Stator Production

Raffin, Tim; Mayr, Andreas; Fuchs, Jonathan; Baader, Marcel; Morello, Andreas; Kühl, Alexander; Franke, Jörg

doi:10.1109/edpc53547.2021.9684194

Cited by 2 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, if the microservices lay in a mesh topology, they can provide an abstract layer between the IoT and the Cloud. This layer could pre-process, filter, analyze, and annotate the sensor data (IoT) and then send them to Cloud [97,102]. Moreover, in [96], the authors explain how the microservice mesh can benefit resource sharing.…”

Section: Conclusion Validitymentioning

confidence: 99%

Relating Edge Computing and Microservices by means of Architecture Approaches and Features, Orchestration, Choreography, and Offloading: A Systematic Literature Review

Castro¹,

Rigo²

2023

Preprint

View full text Add to dashboard Cite

Context: Microservices running and being powered by Edge Computing have been gaining much attention in the industry and academia. Since 2014, when Martin Fowler popularized the Microservice term, many studies have been published relating these subjects to explore how the Edge's low-latency feature could be combined with the high throughput of the distributed paradigm from Microservices. Objective: Identifying how Microservices work together with Edge Computing whereas they take advantage when running on Edge. Method: In order to better understand this relationship, we first identified its key concepts, which are: architecture approaches and features, microservice composition (orchestration/choreography), and offloading. Afterward, we conducted a Systematic Literature Review (SLR) as the survey method. Results: We reviewed 111 selected studies and built a taxonomy of Microservices on Edge Computing demonstrating their current architecture approaches and features, composition, and offloading modes. Moreover, we identify the research gaps and trends. Conclusion: This paper is a step forward to help researchers and professionals get a general overview of how Microservices and Edge have been related in the last years. It also discusses gaps and research trends. This SLR will also be a good introduction for new researchers in Edge and Microservices.

show abstract

Section: Conclusion Validitymentioning

confidence: 99%