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Figure 6 shows the Missed Deadline Ratio and CPU Utilization of different appli-
cations in the platform with the tunable parameters settings in above table. The pro-
posed resource management framework keeps both the Missed Deadline Ratio and
CPU Utilization of all applications around the expected values in response to the
workloads of different patterns. The proposed framework also has the predictive ca-
pability to the changing workload. Take Application 1 as an example, as its workload
increases suddenly and keeps the increasing trend for periods, its Missed Deadline
Ratio only increases for a short time and returns to the expected value. The proposed
framework gains this predictive capability through PID control function based on
which it scales up Application 1 to deal with the future workload increase, with the
cost of the temporary fall of CPU Utilization.
0.3
1
0.2
0.8
0.6
0.1
0
0.4
CPU Utilization of Application 1
Missed Deadline Ratio of Application 1
0.3
1
0.2
0.8
0.6
0.1
0
0.4
Missed Deadline Ratio of Application 2
CPU Utilization of Application 2
0.3
1
0.2
0.8
0.1
0.6
0
0.4
Missed Deadline Ratio of Application 3
CPU Utilization of Application 3
Set Point of Missed Deadline Ratio
0.05
Set Point of CPU Utilization
0.8
VM Safe Threshold
0.9
Fig. 5.
Missed Deadline Ratio and CPU Utilization of Application 1, 2 and 3
