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» On Advantages of Grid Computing for Parallel Job Scheduling
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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 20 days ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
PDP
2003
IEEE
14 years 2 months ago
Scheduling strategies for mixed data and task parallelism on heterogeneous clusters and grids
We consider the execution of a complex application on a heterogeneous "grid" computing platform. The complex application consists of a suite of identical, independent pr...
Olivier Beaumont, Arnaud Legrand, Yves Robert
IFIPTCS
2010
13 years 7 months ago
Approximating the Non-contiguous Multiple Organization Packing Problem
We present in this paper a 5/2-approximation algorithm for scheduling rigid jobs on multi-organizations. For a given set of n jobs, the goal is to construct a schedule for N organi...
Marin Bougeret, Pierre-François Dutot, Klau...
CCGRID
2004
IEEE
14 years 23 days ago
Design and implementation of an OGSI-compliant Grid broker service
Grid computing promises the ability to share geographically and organizationally distributed resources to increase effective computational power and resource utilization. However,...
Youn-Seok Kim, Jung-Lok Yu, Jae-Gyoon Hahm, Jinsoo...
JSSPP
2005
Springer
14 years 2 months ago
Workload Analysis of a Cluster in a Grid Environment
With Grids, we are able to share computing resources and to provide for scientific communities a global transparent access to local facilities. In such an environment the problems...
Emmanuel Medernach