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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 1 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
BROADNETS
2006
IEEE
14 years 1 months ago
Grid Resource Management by means of Ant Colony Optimization
— The use of a manageable optical network is an important requirement for the new advanced data-intensive grid applications that begin to emerge on the e-Science field. In this ...
Gustavo Sousa Pavani, Helio Waldman
HPDC
2002
IEEE
14 years 20 days ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
SIGMETRICS
2002
ACM
130views Hardware» more  SIGMETRICS 2002»
13 years 7 months ago
Multiple-queue backfilling scheduling with priorities and reservations for parallel systems
We describe a new, non-FCFS policy to schedule parallel jobs on systems that may be part of a computational grid. Our algorithm continuously monitors the system (i.e., the intensi...
Barry G. Lawson, Evgenia Smirni
CCGRID
2007
IEEE
14 years 2 months ago
Scheduling Remote Access to Scientific Instruments in Cyberinfrastructure for Education and Research
While a grid represents a computing infrastructure for cross domain sharing of computational resources, the cyberinfrastructure, proposed by the US NSF Blue – Ribbon advisory pa...
Jie Yin, Junwei Cao, Yuexuan Wang, Lianchen Liu, C...