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» Incorporating Data Movement into Grid Task Scheduling
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JVA
2006
IEEE
13 years 10 months ago
Simulated Annealing for Grid Scheduling Problem
Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographicall...
Stefka Fidanova
IPPS
2003
IEEE
13 years 10 months ago
Agent-Based Grid Load Balancing Using Performance-Driven Task Scheduling
Load balancing is a key concern when developing parallel and distributed computing applications. The emergence of computational grids extends this problem, where issues of cross-d...
Junwei Cao, Daniel P. Spooner, Stephen A. Jarvis, ...
GRID
2006
Springer
13 years 4 months ago
Metascheduling Multiple Resource Types using the MMKP
Grid computing involves the transparent sharing of computational resources of many types by users across large geographic distances. The altruistic nature of many current grid reso...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
PDP
2003
IEEE
13 years 10 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