This paper is an extended version of our first KSI paper [1], which I had previously discussed.
As the previous paper had earned an award for best paper at the conference, we were invited to prepare an extended version to submit to the IARIA journals.
So we set out to address the short comin...
This paper presents Ephemeral Kubernetes as a tool for deploying and re-deploying Kubernetes clusters on top of Warewulf.
Warewulf is a node management solution commonly utilized in HPC environments as it enables stateless node provisioning with nodes booting into operating system images that are...
In this paper we introduce the Scalable AI Accelerator, short SAIA, a Slurm-native platform for operating services.
SAIA can be utilized for running any kind of service, i.e., an application that requires HPC resources, must be constantly kept running and accessible from the internet.
However, t...
This paper introduces Kind Slurm Integration, short KSI, as a system for running Kubernetes without root under Slurm.
The implementation is based on Kind and rootless Podman, which enable setting up and running a complete Kubernetes deployment within a Slurm job on a single node.
The paper...
This paper covers a study on the performance of various machine learning model inference runtimes including Tenserflow Serving and PyTorch Serve as well as NVIDIA Triton with either of these as the backend.
The paper was written by Egi Brako based on his bachelor’s thesis, which he had wr...
This paper is directly based on an EU Horizon research proposal we had submitted in 2022 for compute continuum platform that employs Kubernetes to operate a combined platform consisting of Cloud, HPC and Edge environments.
Achieving this, according to the design we presented in the paper, involve...
This paper presents a study on the performance of the two open source serverless runtimes OpenFaaS and Nuclio.
It is directly based on my Master’s Thesis and covers the most essential results of my work.
I have already covered my additional thoughts on the topic of serverless computing in...
About Me
Dr. Jonathan Decker
Jonathan is a scientific employee of the Georg-August-University of Göttingen and a postdoc researcher. He takes the role of a system architect and is focused on designing systems that enable new and novel ways of utilizing Cloud and HPC resources, while also being efficient, secure and scalable. Most notably, he strives to combine HPC with Kubernetes. In addition to conducting research in these topics, he handles university teaching activities.