Name
Title | ||
|---|---|---|
SELVEDAS: A Data and Compute as a Service Workflow Demonstrator targeting Supercomputing Ecosystems |
Abstract | ||
|---|---|---|
Scientists from different communities, especially large-scale experimental facilities, have unique data and compute requirements that cannot be easily realised on a general-purpose supercomputing environment without significant modifications to either the domain requirements or supercomputing operational configurations. One of the crucial customisations 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 however features that are typically associated with cloud technologies. In order to empower a wide variety of users, delivery models such as X-as-a-Service have been introduced. The experimental facilities' workflows from PSI that will leverage on Data and Compute as a Service in the supercomputing ecosystem at CSCS will be shared. Three use cases were implemented to demonstrate the feasibility and benefits of applying a clouddriven approach to supercomputing ecosystems. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/SuperCompCloud51944.2020.00007 | 2020 IEEE/ACM International Workshop on Interoperability of Supercomputing and Cloud Technologies (SuperCompCloud) |
Keywords | DocType | ISBN |
SELVEDAS,SLS,HPC,Cloud,DaaS,CaaS | Conference | 978-1-6654-2273-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siew Hoon Leong | 1 | 0 | 0.34 |
| Hans-Christian Stadler | 2 | 0 | 0.34 |
| Mei-Chih Chang | 3 | 0 | 0.34 |
| Juan Pablo Dorsch | 4 | 0 | 0.34 |
| Tomas Aliaga | 5 | 0 | 0.34 |
| Alun W. Ashton | 6 | 0 | 0.34 |