SNIC Science Cloud (SSC): A national-scale cloud infrastructure for Swedish academia
Paper i proceeding, 2017
The cloud computing paradigm have fundamentally changed the way computational resources are being offered. Although the number of large-scale providers in academia is still relatively small, there is a rapidly increasing interest and adoption of cloud Infrastructure-as-a-Service in the scientific community. The added flexibility in how applications can be implemented compared to traditional batch computing systems is one of the key success factors for the paradigm, and scientific cloud computing promises to increase adoption of simulation and data analysis in scientific communities not traditionally users of large scale e-Infrastructure, the so called long tail of science. In 2014, the Swedish National Infrastructure for Computing (SNIC) initiated a project to investigate the cost and constraints of offering cloud infrastructure for Swedish academia. The aim was to build a platform where academics could evaluate cloud computing for their use-cases. SNIC Science Cloud (SSC) has since then evolved into a national-scale cloud infrastructure based on three geographically distributed regions. In this article we present the SSC vision, architectural details and user stories. We summarize the experiences gained from running a nationalscale cloud facility into ten simple rules for starting up a science cloud project based on OpenStack. We also highlight some key areas that require careful attention in order to offer cloud infrastructure for ubiquitous academic needs and in particular scientific workloads.
Community cloud
Infrastructure-as-a-Service
Platform-as-a-Service
Cloud Computing
Science cloud
Academic and Scientific Workloads on clouds
Software-as-a-Service
Författare
Salman Toor
Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)
Swedish National Infrastructure for Computing (SNIC)
Mathias Lindberg
Swedish National Infrastructure for Computing (SNIC)
High Performance Computing Center North (HPC2N)
Ingemar Falman
Swedish National Infrastructure for Computing (SNIC)
PDC Center for High Performance Computing
Andreas Vallin
Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)
Swedish National Infrastructure for Computing (SNIC)
Olof Mohill
Swedish National Infrastructure for Computing (SNIC)
High Performance Computing Center North (HPC2N)
Pontus Freyhult
Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)
Swedish National Infrastructure for Computing (SNIC)
Linus Nilsson
Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)
Swedish National Infrastructure for Computing (SNIC)
Martin Agback
Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)
Swedish National Infrastructure for Computing (SNIC)
Lars Viklund
Swedish National Infrastructure for Computing (SNIC)
PDC Center for High Performance Computing
Henric Zazzik
Molflow AB
Ola Spjuth
Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)
Uppsala universitet
Marco Capuccini
Uppsala universitet
J. Möller
Uppsala universitet
Donal Murtagh
Uppsala universitet
Andreas Hellander
Swedish National Infrastructure for Computing (SNIC)
Proceedings - 13th IEEE International Conference on eScience, eScience 2017
219-227 8109140
13th IEEE International Conference on eScience, eScience 2017
Auckland, New Zealand,
Auckland, New Zealand,
Ämneskategorier (SSIF 2011)
Teknikhistoria
Systemvetenskap
Datorsystem
DOI
10.1109/eScience.2017.35