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» SOAs for Scientific Applications: Experiences and Challenges
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DMIN
2006
142views Data Mining» more  DMIN 2006»
13 years 8 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
PVLDB
2010
128views more  PVLDB 2010»
13 years 2 months ago
Searching Workflows with Hierarchical Views
Workflows are prevalent in diverse applications, which can be scientific experiments, business processes, web services, or recipes. With the dramatically growing number of workflo...
Ziyang Liu, Qihong Shao, Yi Chen
IPPS
2010
IEEE
13 years 5 months ago
Analyzing the trade-off between multiple memory controllers and memory channels on multi-core processor performance
Increasing the core-count on current and future processors is posing critical challenges to the memory subsystem to efficiently handle concurrent memory requests. The current tren...
José Carlos Sancho, Michael Lang 0003, Darr...
JUCS
2006
109views more  JUCS 2006»
13 years 7 months ago
4M - Software for Modelling and Analysing Cropping Systems
: Models have played an important role in scientific research for a long time. The crop models try to simulate the functioning of the atmosphere-soil-plant system with the help of ...
Nándor Fodor
GRID
2007
Springer
14 years 1 months ago
A highly available job execution service in computational service market
— One of the major challenges in managing resources of computational Grids with diverse shared resources is how to meet users' QoS requirements and rationally distribute res...
Woochul Kang, H. Howie Huang, Andrew S. Grimshaw