The recent explosion in the amount of spatial data calls for specialized systems to handle
big spatial data. In this paper, we discuss the main features and components that needs to …

The recent explosion in the amount of spatial data calls for specialized systems to handle
big spatial data. In this survey, we summarize the state-of-the-art work in the area of big …

This seminar describes the state-of-the-art research in the area of big spatial data and it
consists of four parts. Part I gives a background about big spatial data and the limitations of …

The next decade promises to be an exciting time for astronomers. Large volumes of
astronomical data are continuously collected from highly productive space missions. This …

In recent years, there has been an explosion in the amounts of spatial data produced by
several devices such as smart phones, space telescopes, medical devices, among others …

With the highly demanded requirements for manipulating large scientific datasets, scientists
are in need of flexible cluster-level software to execute fast scientific data analysis. In this …

We propose an efficient window aggregation method over multi-dimensional array data
based on incremental computation. We improve several aggregations with different data …

In this paper, the problem of automatically map** large-grain dataflow programs onto
heterogeneous hardware/software architectures is treated. Starting with a given …

Sky surveys represent a fundamental data source in astronomy. Today, these surveys are
moving into a petascale regime produced by modern telescopes. Due to the exponential …

An array database is effective for managing a massive amount of sensor data, and the
window aggregate is a popular operator. We propose an efficient window aggregate method …