With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
This paper describes a simple scheduling procedure for use in multicast data distribution within a logistical networking infrastructure. The goal of our scheduler is to generate a...
Jason Zurawski, D. Martin Swany, Micah Beck, Ying ...
This paper presents a Grid environment developed for analysis of MRI brain data on global Grids. In the current experiment, the MRI data analysis tasks are composed and formulated...
Scott Kolbe, Tianchi Ma, Wei Liu, Wee Siong Soh, R...
— Data-centric applications are still a challenging issue for Large Scale Distributed Computing Systems. The emergence of new protocols and softwares for collaborative content di...
The Data Diffusion Machine is a scalable virtual shared memory architecture. A hierarchical network is used to ensure that all data can be located in a time bounded by O(logp), wh...
Henk L. Muller, Paul W. A. Stallard, David H. D. W...