Computing and Information Systems - Research Publications
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ItemPrivacy Preserving Geo-Linkage in the Big Urban Data Era(SPRINGER, 2016-12)
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ItemThe Urban Research Gateway for Australia: Development of a Federated, Multi-disciplinary Research e-Infrastructure(CEUR Workshop Proceedings, 2013)
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ItemTools and Processes to Support the Development of a National Platform for Urban Research: Lessons (Being) Learnt from the AURIN Project(Australian Computer Society, 2013)
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ItemThe AURIN e-Infrastructure: design, development and delivery( 2012)The Australian Urban Research Infrastructure Network (AURIN - www.aurin.org.au) is a $20m SuperScience initiative that seeks to support nationwide research across the urban and built environment. The project began in mid-2010 and is due to run to mid-2015. The urban and built environment community is extremely diverse and covers areas as disparate as population demographics, transport, logistics, housing, health, energy and water consumption, through to the future challenges facing the growth of urban settlements. To tackle the many challenges facing urban researchers, access to a wide array of distributed data sets and analytical and visualization tools is essential. These data sets come from a range of national and State-based agencies such as the Australian Bureau of Statistics (ABS), from industrial and commercial data providers such as utility companies, from research institutions and the researchers themselves, as well as through social media, e.g. Twitter. The AURIN project has defined and prototyped a common architecture (e-Infrastructure) that is intended to make the access to and use of data resources and tools transparent to the research community. This paper describes the architecture that has been developed, its implementation and the supporting tools used in its development, testing and deployment. It provides an overview of the systems that have been developed thus far to realize the technical architecture and the experiences learnt in delivery of the e-Infrastructure.
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ItemA data-driven urban research environment for Australia(Institute of Electrical and Electronics Engineers (IEEE), 2012)The Australian Urban Research Infrastructure Network (AURIN) project (www.aurin.org.au) is tasked with developing an e-Infrastructure to support urban and built environment research across Australia. As identified in [1], this e-Infrastructure must provide seamless access to highly distributed and heterogeneous data sets from multiple organisations with accompanying analytical and visualization capabilities. The project is tasked with delivering a secure, web-based unifying environment offering a one-stop-shop for Australia-wide urban and built environment research. This paper describes the architectural design and implementation of the AURIN data-driven e-Infrastructure, where data is not just a passive entity that is accessed and used as a consequence of research demand, but is instead, directly shaping the computational access, processing and intelligent utilization possibilities. This is demonstrated in a situational context.
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ItemReal-time detection of water pollution using biosensors and live animal behaviour models( 2012)Victoria faces a number of significant issues related to the quality of its inland waterways and estuaries with 80% of them being reported to be in a very poor to moderate condition. Catchment management authorities and water authorities are responsible for the condition of waterways and estuaries; however, existing monitoring systems are expensive, limited and consequently in many cases cannot identify the substances causing the damage. As a result, many once-popular waterholes and rivers have experienced degraded in-stream habitat and declining fauna populations. This has resulted in a negative effect on the many industries that rely heavily on waterways for productivity. Recreational activities on Victoria waterways alone are worth $368 million per year, whilst tourism and fishing expenditure, also dependent on river health, generate of the order of $533 million annually. Existing processes for monitoring the health of the waterways and contamination events are expensive and human resource intensive requiring individuals to go to rivers and collect samples for chemical analysis and measurement of toxicity. This is very much after the fact. In contrast, behavioural and physiological responses of wildlife to pollution are sensitive, immediate and relatively simple to monitor. However, they require transmission and analysis of high volumes of data, which has so far limited their utility in field applications. In contrast to these approaches, catchment managers require affordable diagnostic tools with rapid response times to effectively identify and manage pollution events. The Victorian Department of Business and Innovation (DBI) has funded the ALARM project (http://capim.com.au/index.php?page=prac) to develop such a real time detection infrastructure.
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ItemThe design of a flexible web-based analytical platform for urban research: systems paper(Association for Computing Machinery (ACM), 2012)In this paper, we present the functional capabilities scoping for a novel eResearch infrastructure providing urban researchers with access to datasets and analytical tools. The AURIN portal provides a “lab in a browser” environment, leveraging a complex, loosely-coupled internal architecture and a growing number of federated data sources. Datasets can be “shopped” for, visually explored and analyzed using a growing number of analytical capabilities orchestrated in a workflow environment. While spatial analytical tasks are at the heart of most targeted research disciplines, AURIN aims to reach beyond the scope of traditional GIS and map-based portals. In this paper, we discuss how the functional requirements of AURIN can be realized to enable exploratory and confirmatory data analysis supported by high performance Web based infrastructure.
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ItemThe design, development and application of a proxy credential auditing infrastructure for collaborative research(Springer, 2011)Single sign-on and delegation of privileges are fundamental tenets upon which e-Infrastructures and Grid-based research more generally have been based. The realisation of single sign-on and delegation of privileges in accessing resources such as the UK e-Science National Grid Service (NGS - http://www.ngs.ac.uk) and other national facilities is typically facilitated by X.509-based Public Key Infrastructures (PKI) and exploitation of proxy certificates. This model can be categorised by authentication-oriented access and usage of resources. It is the case however that proxy certificates, can potentially be obtained and abused by a malicious third party without the knowledge of the holder. There is currently no method for end users to detect such misuse. In this paper we describe a novel proxy auditing solution that addresses this issue directly. We describe the design and implementation of this solution and illustrate its application in widely distributed and heterogeneous research environments. We focus in particular on the needs and requirements of such a facility in the ESRC funded Data Management through e- Social Science (DAMES - www.dames.org.uk) project, where secure access and monitoring of social simulations and associated data sets are required by the researchers and associated data providers.
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ItemA functional and performance-oriented comparison of AFS and SRB(National e-Science Centre, University of Glasgow, 2008)In this paper the Storage Resource Broker (SRB) [1] and the Andrew File System (AFS) [2] are compared and contrasted in terms of their use as a data storage for Grid based systems. Both the SRB and AFS are distributed file systems capable of storing data produced and consumed by applications and Grid services. The SRB is well established and deployed by many projects globally include widespread deployment across the UK e-Science National Grid Service. AFS is also a distributed file system initially developed as part of the Andrew Project by Carnegie Mellon University and IBM in 1983. AFS is currently being used by the nanoCMOS project [3, 4] for providing secure access to data and applications through usage of Kerberos tokens. While both SRB and AFS can be used as data back ends they have specific properties that make them better suited for different types of usage. In some cases this may be a critical issue where some feature is required but not available in one or both of the candidates. This paper provides a description of these differences, focusing in particular on the security models, their relative performance with a range of file sizes and their general usability. Based on this analysis we present the key criteria that projects should consider for adoption of file based data management.