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ICPPW
2009
IEEE
16 years 23 days ago
Fast Autotuning Configurations of Parameters in Distributed Computing Systems Using Ordinal Optimization
Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense ...
Fan Zhang, Junwei Cao, Lianchen Liu, Cheng Wu
AI
2009
Springer
16 years 22 days ago
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Dirk Gorissen
161
Voted
ICAS
2006
IEEE
139views Robotics» more  ICAS 2006»
16 years 5 days ago
Predicting Resource Demand in Dynamic Utility Computing Environments
— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
Artur Andrzejak, Sven Graupner, Stefan Plantikow
DEXAW
2005
IEEE
199views Database» more  DEXAW 2005»
15 years 11 months ago
Combining Multi-Agent-System Methodologies for Organic Computing Systems
As the complexity of computing systems steadily increases, self-managing systems – as Autonomic Computing Systems (ACS) proposed by IBM – are an adequate approach to minimize ...
Holger Kasinger, Bernhard Bauer
HOTI
2005
IEEE
15 years 11 months ago
Challenges in Building a Flat-Bandwidth Memory Hierarchy for a Large-Scale Computer with Proximity Communication
Memory systems for conventional large-scale computers provide only limited bytes/s of data bandwidth when compared to their flop/s of instruction execution rate. The resulting bo...
Robert J. Drost, Craig Forrest, Bruce Guenin, Ron ...