Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist
Australian academic and industrial organisations in choosing the most
cost-effective cluster configurations for their specific high
performance computing requirements. It will also help an Australian
company to compete with increasing strength against the major
multinationals. The project will also draw together and promote future
research links between ....Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist
Australian academic and industrial organisations in choosing the most
cost-effective cluster configurations for their specific high
performance computing requirements. It will also help an Australian
company to compete with increasing strength against the major
multinationals. The project will also draw together and promote future
research links between two major academic institutions in this field.
Finally, the project will provide high-level training in research,
with industrial grounding, in the high performance computing industry.
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Network Intrusion Detection via Machine Learning. Computer security is an increasingly important, yet complex task. It
takes significant skills to configure systems properly such that they
are safe from malicious attacks.
The proposed project aims at designing automatic systems which are
able to adapt to an existing network configuration and which detect
novel and unusual events. For this purpose we will use modern machine
learning techniques, mainly based on kernels. In particular, rec ....Network Intrusion Detection via Machine Learning. Computer security is an increasingly important, yet complex task. It
takes significant skills to configure systems properly such that they
are safe from malicious attacks.
The proposed project aims at designing automatic systems which are
able to adapt to an existing network configuration and which detect
novel and unusual events. For this purpose we will use modern machine
learning techniques, mainly based on kernels. In particular, recently
developed algorithms to estimate the support of a distribution and
detect rare events will be employed in this context.
The project is in cooperation with Dr. Ralf Herbrich (Microsoft
Research, Cambridge).
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347407
Funder
Australian Research Council
Funding Amount
$100,000.00
Summary
Infrastructure for wireless Internet technology development for rural Australia. Three nodes of a low-power, very-high frequency digital wireless network will be installed at two locations in the Australian National University and one location at the University of Canberra. An additional node will then be located a further distance away (> 50 kms) in the ACT. This network will allow the development of novel technology for moderate speed (>100 kbps) non-line of sight wireless Internet access o ....Infrastructure for wireless Internet technology development for rural Australia. Three nodes of a low-power, very-high frequency digital wireless network will be installed at two locations in the Australian National University and one location at the University of Canberra. An additional node will then be located a further distance away (> 50 kms) in the ACT. This network will allow the development of novel technology for moderate speed (>100 kbps) non-line of sight wireless Internet access over ranges of 3-100 km for potential use by regional Australian Internet providers. The network will also catalyse research and training in wireless communication technology , digital signal processing, and computer networking.Read moreRead less