Computing plays an increasing role in science. In a world where researchers contend for resources and have to deliver faster results, to out compute is to out compete.
More and more institutions are looking to provide teams with
highly powerful and flexible infrastructures to access. And these
same institutions are turning to cloud and software-defined
architectures to deliver their goals.
One such institution is Monash eResearch Centre, a part of
Monash University. Widely regarded as one of the world’s
leading universities, Monash University has five campuses in
Melbourne, Australia, with additional campuses in Malaysia and
India, and a joint graduate school in China. The Monash
eResearch Centre provides all Monash University researchers
and Australian researchers at large with cloud, storage and
high-performance computing (HPC) facilities, and helps to
manage their data effectively.
The challenge of increasing storage demands
The number of projects supported by the Monash eResearch
Centre is growing. Right now there are more than 300 projects,
each one with up to 100 researchers. With so many projects to
support, the Centre’s file-based storage solution came under
strain. During peak research periods, it became a challenge to
meet the demand for petabyte (PB) quantities of capacity and
high input/output operations per second (IOPS) capabilities.
The Centre wanted to offer researchers a self-service storage
platform that demanded the right amount of storage when they
needed it and with the IOPs they required.
For Steve Quenette, deputy director at Monash eResearch Centre,
the idea was to create a storage solution that expanded the
established specialist equipment and high-performance computing
(HPC) cloud platform at the Centre. Called Research at Cloud
Monash (R@CMon), the cloud infrastructure was initiated by the
National e-Collaboration Tools and Resources Research Cloud
(NeCTAR), a government-funded scheme for scientific exploration.
NeCTAR, set up with an AU$47 million (US$33.5 million)
government grant, consists of eight HPC facilities, including
R@CMon, distributed across 4,660 miles of its research network.
The expansion was initiated by an additional AU$50 million
(US$35.6 million) government-funded scheme for research data
dissemination called Research Data Storage Initiative (RDSI),
also consisting of eight nodes on the research network.
Click here to read the full case study.
Monash eResearch Centre drives pioneering work in areas such as medicine
and finance with a breakthrough software-defined storage solution that is a
quarter of the price of competing solutions
“We don’t need multiple
multiple IT functions to
deal with storage
requests as a result of
our Dell and OpenStack
solution. They can
concentrate on strategic
goals for us and the
Deputy Director, Monash
Monash eResearch Centre,
Biotechnology and Science
ScientificComputing.com November 2016
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