Database research at the National University of Singapore

Abstract

The database group has worked on a wide range of research at the National University of Singapore (NUS), ranging from traditional database technology to more advanced database technology and novel database utilities. The database group has been developing efficient cloud computing platforms for large-scale services, and Big Data management and analytics using commodity hardware. One of its goals is to allow users of MapReduce-based systems to keep the programming model of the MapReduce framework, while empowering them with data management functionalities at an acceptable performance. The database group has also developed query processing engine under the MapReduce framework. The group's proposed MapReduce-based similarity (kNN) join exploits Voronoi diagram to minimize the number of objects to be sent to the reducer node to minimize computation and communication overheads.