An In-depth Benchmarking of Evolutionary and Swarm Intelligence Algorithms for Autoscaling Parameter Sweep Applications on Public Clouds

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Variant of the autoscaler MOEA</td><td class="align_center">Name of the variant</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">MOEA with NSGA-III</td><td class="align_center">MOEA-NSGA-III</td></tr><tr><td class="align_left">MOEA with E-NSGA-III</td><td class="align_center">MOEA-E-NSGA-III</td></tr><tr><td class="align_left">MOEA with SMS-EMOA</td><td class="align_center">MOEA-SMS-EMOA</td></tr><tr><td class="align_left">MOEA with SMPSO</td><td class="align_center">MOEA-SMPSO</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Variants of the autoscaler MOEA.</div>

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Table 3

Table 3: An In-depth Benchmarking of Evolutionary and Swarm Intelligence Algorithms for Autoscaling Parameter Sweep Applications on Public Clouds 