Paper Info
Title
Supporting the Decision of Migrating to Microservices Through Multi-layer Fuzzy Cognitive Maps.
Abstract
Microservices architectures are gaining momentum for the development of applications as suites of small, autonomous, and conversational services, which are then easy to understand, deploy and scale. However, one of today’s problems is that microservices introduce new complexities to the system and, despite the hype, many factors should be considered when deciding to adopt a microservices architecture. This paper proposes the first Decision Support System (DSS) to migrate to microservices, by identifying the key concepts and drivers regarding through a literature review and feedback from a group of experts from industry and academia. Then, these concepts are organized as a Multi-Layer Fuzzy Cognitive Map (ML-FCM), a graph-based computational intelligence model that captures the behavior of a given problem in nodes that represent knowledge in the domain, and offers the means to study their influence and interrelation. Static and dynamic analysis over the resulting ML-FCM helped us identify the prevailing drivers towards the migration to a microservices architecture.
Year
Venue
Field
2017
ICSOC
Data science,Graph,Data mining,Architecture,Multi layer,Computational intelligence,Computer science,Fuzzy cognitive map,Decision support system,Microservices
DocType
Citations 
PageRank 
Conference
1
0.35
References 
Authors
6
4
Name
Order
Citations
PageRank
Andreas Christoforou110.69
Martin Garriga251.86
Andreas S. Andreou321636.65
L. Baresi416013.28