Synthetic workload generation for capacity planning of virtual server environments

  • Authors:
  • Hugo E. S. Galindo;Wagner M. Santos;Paulo R. M. Maciel;Bruno Silva;Sérgio M. L. Galdino;José Paulo Pires

  • Affiliations:
  • Centro de Informática, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil;Centro de Informática, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil;Centro de Informática, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil;Centro de Informática, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil;Centro de Informática, Universidade Federal de Pernambuco, Recife, Pernambuco, Brasil;Hewlett-Packard, Brasil, Porto Alegre, Rio Grande do Sul, Brasil

  • Venue:
  • SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
  • Year:
  • 2009

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Abstract

Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...