Prediction Based Proactive Thermal Virtual Machine Scheduling in Green Clouds

<table class="table-group" id="tab18"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="left">VM name</td><td align="center">Operating system</td><td align="center">CPU utilization (%)</td><td align="center">Number of processors</td><td align="center">RAM</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left">VM1</td><td align="center">RHEl 5</td><td align="center">20</td><td align="center">1</td><td align="center">126</td></tr><tr><td align="left">VM2</td><td align="center">RHEl 6</td><td align="center">16</td><td align="center">1</td><td align="center">512</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The Scientific World Journal

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Table 18

Table 18: Prediction Based Proactive Thermal Virtual Machine Scheduling in Green Clouds 