Load Balancing in Distributed Applications Based on Extremal Optimization

Author:

De Falco Ivanoe,Laskowski Eryk,Olejnik Richard,Scafuri Umberto,Tarantino Ernesto,Tudruj Marek

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Barker, K., Chrisochoides, N.: An Evaluation of a Framework for the Dynamic Load Balancing of Highly Adaptive and Irregular Parallel Applications. In: Supercomputing 2003. ACM, Phoenix (2003)

2. Boettcher, S., Percus, A.G.: Extremal optimization: methods derived from coevolution. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), pp. 825–832. Morgan Kaufmann, San Francisco (1999)

3. Borkowski, J., Kopański, D., Laskowski, E., Olejnik, R., Tudruj, M.: A Distributed Program Global Execution Control Environment Applied to Load balancing. Scalable Computing: Practice and Experience 13(3) (2012)

4. Lecture Notes in Computer Science;I. Falco De,2010

5. Devine, K.D., Boman, E.G., Riesen, L.A., Catalyurek, U.V., Chevalier, C.: Getting Started with Zoltan: A Short Tutorial, Sandia National Labs Tech Report SAND2009-0578C (2009)

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1. Effective processor load balancing using multi-objective parallel extremal optimization;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2018-07-06

2. Multi-Objective Extremal Optimization in Processor Load Balancing for Distributed Programs;Parallel Processing and Applied Mathematics;2018

3. Multi-objective parallel extremal optimization in processor load balancing for distributed programs;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2017-07-15

4. Parallel Extremal Optimization with Guided Search and Crossover Applied to Load Balancing;Parallel Processing and Applied Mathematics;2016

5. Parallel Extremal Optimization with Guided State Changes Applied to Load Balancing;Applications of Evolutionary Computation;2015

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