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Advances, Systems and Applications

Table 19 The genetic algorithm behavior in an environment with the unpredictable workload

From: Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker

Iteration no.

CR

CSLA

No. of rented VMs

No. of SLA breaches

Optimal Configuration

1

1

1

155

2

< 96, 66, 0, 2, 2, 4>

2

1

5

155

2

< 96, 66, 0, 2, 2, 4>

3

1

10

153

1

< 96, 57, 0, 2, 0, 4>

4

1

15

158

0

< 92, 47, 0, 3, 0, 4>

5

1

20

158

0

< 92, 47, 0, 3, 0, 4>

6

1

25

158

0

< 92, 47, 0, 3, 0, 4>

7

1

30

158

0

< 92, 47, 0, 4, 0, 4>

8

5

1

121

106

< 97, 73, 4, 0, 4, 1>

9

10

1

112

128

< 97, 79, 4, 0, 4, 1>

10

15

1

105

188

< 97, 90, 4, 0, 3, 1>

11

20

1

96

201

< 99, 90, 4, 0, 3, 1>

12

25

1

96

201

< 99, 90, 4, 0, 3, 1>

13

30

1

96

201

< 99, 90, 4, 0, 3, 1>