Seminario de Investigación, Josef Spillner, 11 enero

El próximo miércoles 11 viene a visitarnos Josef Spillner, profesor asociado en la Universidad de Ciencias Aplicadas de Zurich, Suiza. 

 

Fecha: Miércoles 11 de enero

Hora: 11am

Lugar: Sala de Juntas del Departamento y online ( https://meet.google.com/gwo-ezoe-zvy )

Tiene previsto impartir una charla cuyos detalles reproduzco a continuación: 

Talk title: Machine Advice for GitOps-managed Kubernetes configuration
optimisation

Abstract: The profitability of cloud providers is often negatively
affected by misconfiguration of application resource constraints, in
particular in conjunction with autoscaling. In this research study, we
check the feasibility of integrating ML on usage-dependent
configurations into a GitOps workflow. The configuration scope
encompasses resource constraints and autoscaling in Kubernetes (HPA,
VPA, KEDA). The result will be a novel advisor service that tells GitOps
engineers about monetary implications of detected misconfigurations.
Associated research questions are: Can existing ML components be
integrated into GitOps workflows? Are they scalable enough to process
metrics from a growing customer base? Do they identify the parts of the
configuration that are the low-hanging fruits in the sense of saving
most resource expenses after adopting few suggested changes?

Bio short: Dr.-Ing. habil. Josef Spillner is a senior lecturer /
associate professor at Zurich University of Applied Sciences in
Switzerland. His research activity focuses on Distributed Application
Computing Paradigms. This involves distributed, federated and
decentralised application designs, as well as novel cloud and post-cloud
application architectures, in a spectrum ranging from basic research to
applied innovation and industry transfer. Particular emphasis is on
technological support for emerging digitalisation needs of industry and
society, such as smart cities and mobility. His teaching schedule is
focused on Big Data Computing, Cloud Native Computing and Serverless
Computing, and Infrastructures for Data Science. He is a senior member
of IEEE, member of ACM and national professional societies.