The article analyses the behavior of two kinds of multiprocessor multidisk storage server architectures for a data intensive application, namely for spatial queries in geographical information systems (GIS). The two kinds of servers are: (1) a workstation cluster architecture with multiple processors, multiple disks, and a shared bus shared memory architecture; (2) a distributed memory architecture, similar to the T9000 transputer based architectures, where processing nodes and disk nodes are connected by a high throughput crossbar switch. The GIS application under investigation is the map overlay with map at different scales and resolution
This research presents several components encompassing the scope of the objective of Data Partitioni...
The data center is a new concept of data processing and application proposed in recent years. It is ...
Reading and writing big data is increasingly becoming a major bottleneck of using high-performance c...
Professionals in various fields such as medical imaging, biology, and civil engineering require rapi...
Professionals in various fields such as medical imaging, biology, and civil engineering require rapi...
Copyright © 2003 Published by Elsevier Science B.V.The number of applications that require parallel ...
Multimedia interfaces increase the need for large image databases, capable of storing and reading st...
Declustering techniques are widely used in distributed environments to reduce query response time th...
The demand for parallel geocomputation based on raster data is constantly increasing with the increa...
The volume of geospatially referenced scientific data is growing by orders of magnitude worldwide du...
Professionals in various fields such as medical imaging, biology, and civil engineering require rapi...
. We present a distributed geographic information system (DGIS) built on a distributed high performa...
Research projects often have complex algorithms, machine learning, or powerful programs that need to...
textabstractWe describe Monet, a novel database system, designed to get maximum performance out of t...
Professionals in various #elds such as medical imaging# biology# and civil engineering require rapi...
This research presents several components encompassing the scope of the objective of Data Partitioni...
The data center is a new concept of data processing and application proposed in recent years. It is ...
Reading and writing big data is increasingly becoming a major bottleneck of using high-performance c...
Professionals in various fields such as medical imaging, biology, and civil engineering require rapi...
Professionals in various fields such as medical imaging, biology, and civil engineering require rapi...
Copyright © 2003 Published by Elsevier Science B.V.The number of applications that require parallel ...
Multimedia interfaces increase the need for large image databases, capable of storing and reading st...
Declustering techniques are widely used in distributed environments to reduce query response time th...
The demand for parallel geocomputation based on raster data is constantly increasing with the increa...
The volume of geospatially referenced scientific data is growing by orders of magnitude worldwide du...
Professionals in various fields such as medical imaging, biology, and civil engineering require rapi...
. We present a distributed geographic information system (DGIS) built on a distributed high performa...
Research projects often have complex algorithms, machine learning, or powerful programs that need to...
textabstractWe describe Monet, a novel database system, designed to get maximum performance out of t...
Professionals in various #elds such as medical imaging# biology# and civil engineering require rapi...
This research presents several components encompassing the scope of the objective of Data Partitioni...
The data center is a new concept of data processing and application proposed in recent years. It is ...
Reading and writing big data is increasingly becoming a major bottleneck of using high-performance c...