Multiobjective differential evolution for scheduling workflow applications on global Grids
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Rajkumar Buyya | Michael Kirley | A. K. M. Khaled Ahsan Talukder | R. Buyya | M. Kirley | A. Talukder
[1] Ladislau Bölöni,et al. A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems , 2001, J. Parallel Distributed Comput..
[2] Adam Arbree,et al. Mapping Abstract Complex Workflows onto Grid Environments , 2003, Journal of Grid Computing.
[3] SiegelHoward Jay,et al. Task Matching and Scheduling in Heterogeneous Computing Environments Using a Genetic-Algorithm-Based Approach , 1997 .
[4] Tatsuhiro Tsuchiya,et al. Genetics-based multiprocessor scheduling using task duplication , 1998, Microprocess. Microsystems.
[5] Robert H. Storer,et al. Datapath synthesis using a problem-space genetic algorithm , 1995, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..
[6] Rajkumar Buyya,et al. Multi-objective planning for workflow execution on Grids , 2007, 2007 8th IEEE/ACM International Conference on Grid Computing.
[7] Hisao Ishibuchi,et al. A multi-objective genetic local search algorithm and its application to flowshop scheduling , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[8] Daniel Gajski,et al. Hypertool: A Programming Aid for Message-Passing Systems , 1990, IEEE Trans. Parallel Distributed Syst..
[9] Mehmet Fatih Tasgetiren,et al. A discrete differential evolution algorithm for the permutation flowshop scheduling problem , 2008, Comput. Ind. Eng..
[10] Vincenzo Di Martino,et al. Sub optimal scheduling in a grid using genetic algorithms , 2003, Parallel Comput..
[11] Dinkar N. Bhat. An evolutionary measure for image matching , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[12] Rajkumar Buyya,et al. Scheduling scientific workflow applications with deadline and budget constraints using genetic algorithms , 2006, Sci. Program..
[13] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[14] Gregor von Laszewski,et al. QoS guided Min-Min heuristic for grid task scheduling , 2003, Journal of Computer Science and Technology.
[15] Radu Prodan,et al. Scheduling of scientific workflows in the ASKALON grid environment , 2005, SGMD.
[16] Ruonan Rao,et al. A Multiobjective Resources Scheduling Approach Based on Genetic Algorithms in Grid Environment , 2006, 2006 Fifth International Conference on Grid and Cooperative Computing Workshops.
[17] Radu Prodan,et al. Dynamic scheduling of scientific workflow applications on the grid: a case study , 2005, SAC '05.
[18] David Corne,et al. The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[19] Yang Gao,et al. Adaptive grid job scheduling with genetic algorithms , 2005, Future Gener. Comput. Syst..
[20] Sang Cheol Kim,et al. Push-pull: guided search DAG scheduling for heterogeneous clusters , 2005, 2005 International Conference on Parallel Processing (ICPP'05).
[21] Jon B. Weissman,et al. A genetic algorithm based approach for scheduling decomposable data grid applications , 2004, International Conference on Parallel Processing, 2004. ICPP 2004..
[22] Rajkumar Buyya,et al. Workflow scheduling algorithms for grid computing , 2008 .
[23] Jinyuan You,et al. Link-Contention-Aware Genetic Scheduling Using Task Duplication in Grid Environments , 2003, GCC.
[24] Marco Laumanns,et al. Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..
[25] Nawwaf N. Kharma,et al. GATS 1.0: a novel GA-based scheduling algorithm for task scheduling on heterogeneous processor nets , 2005, GECCO '05.
[26] Jian-Gang Yang,et al. A genetic algorithm for tasks scheduling in parallel multiprocessor systems , 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).
[27] Ami Marowka,et al. The GRID: Blueprint for a New Computing Infrastructure , 2000, Parallel Distributed Comput. Pract..
[28] Jun Gu,et al. Efficient Local Search for DAG Scheduling , 2001, IEEE Trans. Parallel Distributed Syst..
[29] Lothar Thiele,et al. A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers , 2006 .
[30] Andreas C. Nearchou,et al. Differential evolution for sequencing and scheduling optimization , 2006, J. Heuristics.
[31] Rajkumar Buyya,et al. Nature's heuristics for scheduling jobs on Computational Grids , 2000 .
[32] Marco Mililotti,et al. Scheduling in a grid computing environment using genetic algorithms , 2002, Proceedings 16th International Parallel and Distributed Processing Symposium.
[33] Sung-Bong Yang,et al. Task scheduling in distributed computing systems with a genetic algorithm , 1997, Proceedings High Performance Computing on the Information Superhighway. HPC Asia '97.
[34] Hussein A. Abbass,et al. Differential Evolution for Solving multiobjective Optimization Problems , 2004, Asia Pac. J. Oper. Res..
[35] Kuo-Chi Lin,et al. An incremental genetic algorithm approach to multiprocessor scheduling , 2004, IEEE Transactions on Parallel and Distributed Systems.