SC20 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

SELVEDAS: A Data and Compute as a Service Workflow Demonstrator Targeting Supercomputing Ecosystems


Workshop:SuperCompCloud: 3rd International Workshop on Interoperability of Supercomputing and Cloud Technologies

Authors: Siew Hoon (Cerlane) Leong (Swiss National Supercomputing Centre (CSCS)); Hans-Christian Stadler (Paul Scherrer Institute, Switzerland); Juan Pablo Dorsch and Tomas Aliaga (Swiss National Supercomputing Centre (CSCS)); and Alun W. Ashton (Paul Scherrer Institute, Switzerland)


Abstract: Scientists from different communities, especially large-scale experimental facilities, have unique data and compute requirements that cannot be easily realized in a general-purpose supercomputing environment without significant modifications to either domain requirements or supercomputing operational configurations. One of the crucial customizations required is the orchestration of on-demand and auto-scale workflows on a largely batch-driven supercomputing system. On-demand, auto-scale and resiliency are features that are typically associated with cloud technologies. In order to empower a wide variety of users, concepts such as X-as-a-Service have been introduced. Experimental facilities' workflows from PSI that will leverage Data and Compute as a Service in supercomputing ecosystem at CSCS will be shared. Three use cases were implemented to demonstrate the feasibility and benefits of applying a cloud-driven approach to supercomputing ecosystems.





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