116. Challenges of running scientific workloads in multi-cloud and hybrid computing environments

Abstract

During the talk, I describe the challenges of running scientific workloads in multi-cloud and hybrid computing environments – with a focus on achieving interoperability between cloud-native workloads and HPC workloads. Current trends in container and cloud technologies will be discussed, focusing on their usefulness for scientific workloads. The talk will also cover the presentation of the roadmap and development of the Sano Computing Cluster.

About the author

Dr Michał Orzechowski has worked at the Academic Computer Center Cyfronet AGH University in Krakow since 2011. He currently serves as Senior Cloud and DevOps Specialist at the Laboratory of Cloud Technologies. He has extensive experience in designing, implementing, testing and operating computing and data storage systems for the cloud, as well as optimising distributed applications for efficient use of cloud storage resources. He participated in over 17 European-founded projects focused on cloud computing, data management, and container technologies. Since last year he has collaborated with the Sano Centre for Computational Personalized Medicine designing the first version of the Sano Computing Cluster.