Dynamic Q-Learning-Based Optimized Load Balancing Technique in Cloud

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Description</td><td class="align_center">Parameter value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Data center region</td><td class="align_center">From 0 to 5</td></tr><tr><td class="align_left">Number of data center</td><td class="align_center">6</td></tr><tr><td class="align_left">Host machine used</td><td class="align_center">40</td></tr><tr><td class="align_left">Manager</td><td class="align_center">Time and space</td></tr><tr><td class="align_left">Bandwidth</td><td class="align_center">1000 mps</td></tr><tr><td class="align_left">CPU</td><td class="align_center">2.4 GHz</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Modelling stimulation parameter set.</div>

Mobile Information Systems

tab2

Table 2

Table 2: Dynamic Q-Learning-Based Optimized Load Balancing Technique in Cloud 