for the LRRMMT-1.2 and LRR-MxMT-1.2 policies as shown in Fig. 8 (b). For MADMMT-2.5 and MAD-MxMT-2.5 policies SLATAH found average 5% and 46% respectively as illustrated in Fig. 8 (c). On the other hand, for THR-MMT-0.8 and THR-MxMT-0.8 policies, an average 5% and 40% SLATAH had been observed respectively which are shown in Fig. 8 (d), and it points the SLATAH increment compared to the prior work.\
On average, 27% and 83% SLATAH were found for THR-MMT-1.0 and THR-MxMT-1.0 policies which are illustrated in Fig. 9 (a). Fig. 9 (b) depicted SLATAH for LR-MMT-1.2 and LR-MxMT-1.2 policies. LR-MMT-1.2 produced an average of 4% SLATAH and LR-MxMT-1.2 produced an average of 41% SLATAH.\

Virtual Machine Migration
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Our experimental result shows a great reduction of VM migration which is significant for our proposed algorithm. Compared to the prior work, VM migration had decreased by 95%, 94%, 95% and 96% for IQR-MxMT-1.5, LRR-MxMT-1.2, MAD-MxMT-2.5 and THR-MxMT-0.8 respectively. The simulation result is shown in Fig. 10 (a), (b), (c) and (d).\
Similarly, the number of VM migration had decreased for THR-MxMT-1.0 and LR-MxMT-1.2 by 94% and 93% as illustrated in Fig. 11 (a) and (b). The number of VM migration was reduced because 