On the 26th to 28th September, the IEEE NCA 2019 (18th IEEE International Symposium on Network Computing and Applications) international conference was held in Boston.

This conference is held annually, focusing on the dissemination of information, prototypes and ideas from industry or academia, associated with microservices, machine learning, among other topics.

Ricardo Ângelo Filipe, from the Network and Platforms Services department – and as part of his PhD – presented an article, focusing on the theme of monitoring and performance in microservices architectures.

The article “Towards Occupation Inference in Non-instrumented Services” focused on occupational inference with limited observable microservices using modeling and machine learning techniques.