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Two new fast heuristics for mapping parallel applications on cloud computing.

, , и . Future Gener. Comput. Syst., (2014)

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Umberto Gehling

Umberto Maio

Umberto Pelliccioni

Umberto Piarulli

Umberto Barsanti

 

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An asynchronous adaptive multi-population model for distributed differential evolution., , , и . CEC, стр. 5010-5017. IEEE, (2016)Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes., , , , , и . Future Gener. Comput. Syst., (2019)An adaptive multisite mapping for computationally intensive grid applications., , и . Future Gener. Comput. Syst., 26 (6): 857-867 (2010)Genetic Programming-based induction of a glucose-dynamics model for telemedicine., , , , , и . J. Netw. Comput. Appl., (2018)Extremal Optimization as a Viable Means for Mapping in Grids., , , , и . EvoWorkshops, том 5484 из Lecture Notes in Computer Science, стр. 41-50. Springer, (2009)Exploiting diversity in an asynchronous migration model for distributed differential evolution., , , и . GECCO (Companion), стр. 1880-1887. ACM, (2017)Distributed Java Programs Initial Mapping Based on Extremal Optimization., , , , , и . PARA (1), том 7133 из Lecture Notes in Computer Science, стр. 75-85. Springer, (2010)Extremal Optimization Applied to Task Scheduling of Distributed Java Programs., , , , , и . EvoApplications (2), том 6625 из Lecture Notes in Computer Science, стр. 61-70. Springer, (2011)Multi-Objective Extremal Optimization in Processor Load Balancing for Distributed Programs., , , , , и . PPAM (2), том 10778 из Lecture Notes in Computer Science, стр. 176-188. Springer, (2017)A Distributed Differential Evolution Approach for Mapping in a Grid Environment., , , и . PDP, стр. 442-449. IEEE Computer Society, (2007)