scholarly journals The Design and Implementation of the Distributed Computing Platform for Bioinformatics

2009 ◽  
Vol 2 (3) ◽  
Author(s):  
Juan Huang ◽  
Yaoping Fei
Keyword(s):  
Distributed Computing ◽  
Computing Platform ◽  
Design And Implementation ◽  
Distributed Computing Platform

Split Process Cluster: A Distributed Computing Platform for Edge Extraction of Massive Remote Sensing Images

2014 ◽  
Vol 513-517 ◽  
pp. 2268-2272
Author(s):  
Fu Chao Cheng ◽  
Fang Miao ◽  
Wen Hui Yang
Keyword(s):  
Distributed Computing ◽  
Spatial Clustering ◽  
Image Data ◽  
Image Features ◽  
Extraction Rate ◽  
Image Feature ◽  
Edge Extraction ◽  
Computing Platform ◽  
Redundant Data ◽  
Distributed Computing Platform

In existed distributed edge extraction method based on MapReduce, the inappropriate dataset split algorithms leaded to the loss problem of image features in result. We presented a distributed computing platform called Split Process Cluster (SPC) to resolve this problem. In SPC, the images are partitioned with the resilient image pyramid model (RIP), a multi-layer and redundant data structure we presented earlier, to ensure the integrity of original image features. And SPC packages the image data to the form of Key-Value pairs, which could be processed through Hadoop, and reduces the results with density-based spatial clustering of applications with noise (DBSCAN) algorithm. Compared to traditional method, the extraction rate of image feature by using SPC has been improved, which indicates that using SPC is an efficient way to improve the extraction rate of distributed edge extraction.

Distributed Computing Platform for PET and SPECT Simulations with GATE

2006 ◽  
Author(s):  
J. De Beenhouwer ◽  
D. Kruecker ◽  
S.S. Staelens ◽  
L. Ferrer ◽  
A.F. Chatziioannou ◽  
...  
Keyword(s):  
Distributed Computing ◽  
Computing Platform ◽  
Distributed Computing Platform
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