Thesis Topic Details

Topic ID:
3374
Title:
Big Data Platform
Supervisor:
Liming Zhu
Research Area:
Software Engineering, Web Applications, Distributed Systems
Associated Staff
Assessor:
Xiwei Xu
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE BIOM BINF SE
Group Suitable:
Yes
Industrial:
Yes
Pre-requisites:
--
Description:
Heavy use of computing is producing a large amount of valuable data everyday. There have been advances (e.g. MapReduce) at the infrastructure level for processing large amount of data. However, the challenges remains at the upper layer on connecting business data silos, accommodating entrenched but efficient domain-specific analysis tools, making analysis results usable in real-time to business operations, all in end-user friendly ways. The aim of this project is to connect a set of existing open-source tools through programmable web-interfaces to tackle the above challenges. NICTA's Software Systems Research Group (SSRG) has developed a web-based tool mashup technology to make this task easier. Work in this project would include understanding big data tools and NICTA's mashup tool, writing web-layer wrappers and programmable interfaces for existing tools and build a demonstration system. The key novelty is its ability to advertise the capabilities of existing tools and connect them through the basic Web. The outcome would be a proof of concept and demonstration system for web-coordinated analysis tools and data sources. This project is suitable for individual or group.
Comments:
References:
Liming Zhu, Len Bass and Xiwei Xu,
Data management requirements for a knowledge discovery platform
Architectures and Platforms for Knowledge Discovery from Data, Helsinki, Finland, pp. 4, August, 2012., August, 2012 http://www.nicta.com.au/pub?doc=5978
Requirements: Programming skills required.
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