Distributed computing frameworks are the fundamental component of distributed computing
systems. They provide an essential way to support the efficient processing of big data on …

Scientific experiments and large-scale simulations produce massive amounts of data. Many
of these scientific datasets are arrays, and are stored in file formats such as HDF5 and …

A 3D Shenzhen city web platform based on WE-BVRGIS is presented. A 3D globe browser
is employed to load all kinds of demanded data of the city, such as 3D building model data …

Increasingly severe I/O bottlenecks on High-End Computing machines are prompting
scientists to process simulation output data online while simulations are running and before …

This paper takes Shenzhen Fustian comprehensive transportation junction as the case, and
makes use of continuous multiple real-time dynamic traffic information to carry out …

In-situ analytics has lately been shown to be an effective approach to reduce both I/O and
storage costs for scientific analytics. Develo** an efficient in-situ implementation, however …

An array DBMS streamlines large Nd array management. A large portion of such arrays
originates from the geospatial domain. The arrays often natively come as raster files while …

Since scientific investigation is one of the most important providers of massive amounts of
ordered data, there is a renewed interest in array data processing in the context of Big Data …

User-Defined Functions (UDF) allow application programmers to specify analysis operations
on data, while leaving the data management tasks to the system. This general approach …

In recent years, many Array DBMSs, including SciDB and RasDaMan have emerged to meet
the needs of data management applications where the natural structures are the arrays …