We released open-source software Hadoop-GIS in 2011, and presented and published the
work in VLDB 2013. This work initiated the development of a new spatial data analytical …

Objective and design The design and implementation of ImageMiner, a software platform for
performing comparative analysis of expression patterns in imaged microscopy specimens …

Cloud computing enables a conventional relational database system's hardware to be
adjusted dynamically according to query workload, performance and deadline constraints …

We have developed a threaded parallel data streaming approach using Globus to transfer
multi-terabyte simulation data from a remote supercomputer to the scientistýs home …

Analyzing large and distributed image datasets is a crucial step in understanding the
structural and functional characteristics of biological systems. In this paper, we present the …

MapReduce is a popular programming model for executing time-consuming analytical
queries as a batch of tasks on large scale data clusters. In environments where multiple …

High-performance computer simulations are an increasingly popular alternative or
complement to physical experiments or prototypes. However, as these simulations grow …

Processing of data in many data analysis applications can be represented as an acyclic,
coarse grain data flow, from data sources to the client. This paper is concerned with …

Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides
on top of Hadoop to summarize Big Data, and makes querying and analyzing easy. The …

Data mining techniques are becoming increasingly more popular as a reasonable means to
collect summaries from the rapidly growing datasets in many areas. However, as the size of …