Location
Grand Wailea, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2020 12:00 AM
End Date
10-1-2020 12:00 AM
Description
In the last decade architectural patterns like microservices and event-driven architectures have emerged to meet the challenges of distributed computing. This paper explores recent practices and research in microservice- and event-driven architectures to identify the challenges in architecting such systems. With a proof-of-concept study approach, we distilled a set of design principles to address these challenges, creating asynchronous and agnostic microservice architectures. Further, we provide a generic toolkit for implementing such architectures. An example of this architecture was implemented in the company TechnipFMC. Concurrently, an architecture trade-off analysis was performed using a utility-tree based approach, highlighting the impact and importance of our proposed principles and their generalizability. The evaluation provides evidence for the viability of the proposed design principles.
Architectural Principles for Autonomous Microservices
Grand Wailea, Hawaii
In the last decade architectural patterns like microservices and event-driven architectures have emerged to meet the challenges of distributed computing. This paper explores recent practices and research in microservice- and event-driven architectures to identify the challenges in architecting such systems. With a proof-of-concept study approach, we distilled a set of design principles to address these challenges, creating asynchronous and agnostic microservice architectures. Further, we provide a generic toolkit for implementing such architectures. An example of this architecture was implemented in the company TechnipFMC. Concurrently, an architecture trade-off analysis was performed using a utility-tree based approach, highlighting the impact and importance of our proposed principles and their generalizability. The evaluation provides evidence for the viability of the proposed design principles.
https://aisel.aisnet.org/hicss-53/st/self-adaptive_systems/4