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DMIN
2006
142views Data Mining» more  DMIN 2006»
13 years 7 months ago
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Junping Sun, William Sverdlik, Samir Tout
ISPAN
2009
IEEE
14 years 24 days ago
High-Performance Cloud Computing: A View of Scientific Applications
— Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by ...
Christian Vecchiola, Suraj Pandey, Rajkumar Buyya
CLUSTER
2004
IEEE
13 years 10 months ago
XChange: coupling parallel applications in a dynamic environment
Modern computational science applications are becoming increasingly multi-disciplinaty involving widely distributed research teams and their underlying computational platforms. A ...
Hasan Abbasi, Matthew Wolf, Karsten Schwan, Greg E...
ICCCN
2007
IEEE
14 years 14 days ago
An Energy-Efficient Scheduling Algorithm Using Dynamic Voltage Scaling for Parallel Applications on Clusters
In the past decade cluster computing platforms have been widely applied to support a variety of scientific and commercial applications, many of which are parallel in nature. Howev...
Xiaojun Ruan, Xiao Qin, Ziliang Zong, Kiranmai Bel...
IPCCC
2006
IEEE
14 years 5 days ago
SHARP: a new real-time scheduling algorithm to improve security of parallel applications on heterogeneous clusters
This paper addresses the problem of improving quality of security for real-time parallel applications on heterogeneous clusters. We propose a new security- and heterogeneity-drive...
Tao Xie 0004, Xiao Qin, Mais Nijim