. The need and opportunity to efficiently find patterns and features in the vast and growing scientific data sets of today is apparent. In this paper, we present an extensible and distributed query processing system --- Conquest (CONcurrent QUEries over Space and Time) which delivers high performance for non-traditional database query applications. Conquest is composed of components: query management subsystem, query execution engine and user-interface subsystem. Both operation and data parallelism are supported. Scientists can arbitrarily introduce their familiar well-known raster and vector geometry data types as well as particular algorithms for specific applications. Tools are available to help support new data types and operators so th...
Abstract—Scientific experiments and simulations produce mountains of data in file formats, such as H...
A variety of research exists for the processing of continuous queries in large, mobile environments....
Advanced computing and sensing technologies enable scientists to study natural and physical phenomen...
Core to many scientific and analytics applications are spatial data capturing the position or shape ...
Remotely sensed data, in particular satellite imagery, play many important roles in environmental ap...
A major challenge facing geophysical science today is the unavailability of high-level analysis tool...
Les masses de données scientifiques générées par les moyens d'observation modernes, dont l’observati...
Abstract—In recent years, spatial applications have become more and more important in both scientifi...
With GIS technology for Web-enabled vector and meta data access becoming mature, the next quest is t...
The focus of the Paradise project [1,2] is to design and implement a scalable database system capabl...
The rapid growth of spatial data volume and technological trends in storage capacity and processing ...
A variety of research exists for the processing of continuous queries in large, mobile environments....
This paper presents a distributed algorithm for processing continuous spatiotemporal queries. Distri...
Abstract—Efficient access to voluminous multidimensional datasets is essential for several scientifi...
The proliferation of observational devices and sensors with networking capabilities has led to growt...
Abstract—Scientific experiments and simulations produce mountains of data in file formats, such as H...
A variety of research exists for the processing of continuous queries in large, mobile environments....
Advanced computing and sensing technologies enable scientists to study natural and physical phenomen...
Core to many scientific and analytics applications are spatial data capturing the position or shape ...
Remotely sensed data, in particular satellite imagery, play many important roles in environmental ap...
A major challenge facing geophysical science today is the unavailability of high-level analysis tool...
Les masses de données scientifiques générées par les moyens d'observation modernes, dont l’observati...
Abstract—In recent years, spatial applications have become more and more important in both scientifi...
With GIS technology for Web-enabled vector and meta data access becoming mature, the next quest is t...
The focus of the Paradise project [1,2] is to design and implement a scalable database system capabl...
The rapid growth of spatial data volume and technological trends in storage capacity and processing ...
A variety of research exists for the processing of continuous queries in large, mobile environments....
This paper presents a distributed algorithm for processing continuous spatiotemporal queries. Distri...
Abstract—Efficient access to voluminous multidimensional datasets is essential for several scientifi...
The proliferation of observational devices and sensors with networking capabilities has led to growt...
Abstract—Scientific experiments and simulations produce mountains of data in file formats, such as H...
A variety of research exists for the processing of continuous queries in large, mobile environments....
Advanced computing and sensing technologies enable scientists to study natural and physical phenomen...