Level 5, Melbourne Connect, 700 Swanston Street, Melbourne, Vic 3010, Australia
+61-(0)435-964-844

ENS@T CANCER

SECURITY
We have worked on the most demanding of security domains - from extremely rare genetic diseases, through to systems with intellectual property worth hundreds of millions of dollars. We have delivered systems with advanced authentication, authorisation, auditing and accounting capabilities (amongst many others aspects of security!)
CLOUD COMPUTING
A large part of our work is in supporting scalable infrastructures utilising mainstream Cloud infrastructures. This includes the full gamut of Cloud models from Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). These are based around mainstream Cloud technologies such as VMware, OpenStack and Amazon Web Services. We teach Cloud computing and have educated over 500 Masters students in the kinds of technologies that are shaping the IT landscape.
BIG DATA
A common demand for eResearch is in supporting the many challenges associated with big data such as its volume (e.g. dealing with multi-Terabytes of data); its velocity in rapid production/capture of data; its variety of data and the issues associated with heterogeneous and distributed data sets; its veracity of data and the history (provenance) of data amongst other challenges. Tackling such issues often requires novel data management technologies, e.g. support for distributed data management systems and algorithms such as MapReduce and ElasticSearch. We have worked with these technologies for many years in domains such as genomics, urban research through to social media analytics.
DATA MANAGEMENT SOLUTIONS
All research domains are generating and/or needing access to data at unprecedented rates – often these are increasingly diverse data sets. In this context a rich range of data management solutions now exist: noSQL databases such as CouchDB, CouchBase and MongoDB; distributed data solutions such as Hadoop Distributed File System and Apache Swift, as well as more traditional data solutions such as relational databases such as MySQL, PostGres and Oracle (amongst many others). We have used all of these technologies in a range of application domains and have considerable expertise in their deployment, configuration and utilisation more generally.