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A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
Experiments with Scheduling Using Simulated Annealing in a Grid Environment
GRID '02 Proceedings of the Third International Workshop on Grid Computing
HyGLEAM - An Approach to Generally Applicable Hybridization of Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
GLEAM - A System for Simulated `Intuitive Learning'
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Scheduling under Uncertainty: Planning for the Ubiquitous Grid
COORDINATION '02 Proceedings of the 5th International Conference on Coordination Models and Languages
Grid resource management: state of the art and future trends
Grid resource management: state of the art and future trends
Sub optimal scheduling in a grid using genetic algorithms
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
Security-Driven Heuristics and A Fast Genetic Algorithm for Trusted Grid Job Scheduling
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Genetic Algorithm Based Scheduler for Computational Grids
HPCS '05 Proceedings of the 19th International Symposium on High Performance Computing Systems and Applications
Software—Practice & Experience
Adaptive grid job scheduling with genetic algorithms
Future Generation Computer Systems
An XML-based framework for loosely coupled applications on grid environments
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
Optimised scheduling of grid resources using hybrid evolutionary algorithms
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Two level job-scheduling strategies for a computational grid
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
The campusgrid test bed at forschungszentrum karlsruhe
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Tackling the grid job planning and resource allocation problem using a hybrid evolutionary algorithm
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Alea 2: job scheduling simulator
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
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Evolutionary Algorithms (EA) are well suited for solving optimisation problems, especially NP-complete problems This paper presents the application of the Evolutionary Algorithm GLEAM (General Learning and Evolutionary Algorithm and Method) in the field of grid computing Here, grid resources like computing power, software, or storage have to be allocated to jobs that are running in heterogeneous computing environments The problem is similar to industrial resource scheduling, but has additional characteristics like co-scheduling and high dynamics within the resource pool and the set of requesting jobs The paper describes the deployment of GLEAM in the global optimising grid resource broker GORBA (Global Optimising Resource Broker and Allocator) and the first promising results in a grid simulation environment.