In-Memory Moving Objects Analytics for Real-Time Business Applications (2014–2017)

Abstract:
Due to the increasing variety, velocity, and scale of data generated from moving objects, traditional computing technologies are lagging behind the growing business needs for real-time data analysis. This project aims to build a new technical foundation utilizing in-memory technologies for efficiently analysing big mobile data, by inventing a rich set of novel computing techniques, including in-memory parallel trajectory computing, built-in map support, and terabyte scale query processing. The project will bring together leading research in spatiotemporal data management at the University of Queensland, with HANA, the new main-memory database and data analytics platform developed at SAP.
Grant type:
ARC Linkage Projects
Researchers:
  • Professor
    School of Information Technology and Electrical Engineering
    Faculty of Engineering, Architecture and Information Technology
  • Senior Lecturer
    School of Information Technology and Electrical Engineering
    Faculty of Engineering, Architecture and Information Technology
  • Professor
    School of Information Technology and Electrical Engineering
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council