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.

Cloud Computing

Academic and Scientific Workloads on clouds

Infrastructure-as-a-Service

Software-as-a-Service

Science cloud

Community cloud

Platform-as-a-Service

Författare

Salman Toor

Swedish National Infrastructure for Computing (SNIC)

Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)

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

Swedish National Infrastructure for Computing (SNIC)

Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)

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

Swedish National Infrastructure for Computing (SNIC)

Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)

Lars Viklund

PDC Center for High Performance Computing

Swedish National Infrastructure for Computing (SNIC)

Henric Zazzik

Molflow AB

Ola Spjuth

Uppsala universitet

Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)

Marco Capuccini

Uppsala universitet

J. Möller

Uppsala universitet

Donal Murtagh

Mikrovågs- och optisk fjärranalys

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,

Ämneskategorier

Teknikhistoria

Systemvetenskap

Datorsystem

DOI

10.1109/eScience.2017.35

Mer information

Senast uppdaterat

2018-12-17