Fig 1.
System architecture.
Table 1.
Classification of different approaches in existing literature.
Fig 2.
Proposed machine learning model.
Fig 3.
Antlion algorithm workflow.
Fig 4.
Flow of orchestration model.
Fig 5.
System architecture of feedforward neural network.
Table 2.
Configuration of proposed neural network.
Fig 6.
Layer architecture of EDGE computing and healthcare application.
Fig 7.
Distribution of Fog and EDGE nodes over an area.
Table 3.
Configuration of cloud and EDGE servers.
Table 4.
Configuration of Fog node requests.
Fig 8.
Average energy consumption in cloud.
Fig 9.
Average energy consumption in Edge.
Fig 10.
Average CPU utilization in cloud.
Fig 11.
Average CPU utilization in Edge.
Fig 12.
WAN utilization in Edge.
Fig 13.
Average waiting time in Edge.
Fig 14.
Number of tasks executed in cloud.
Fig 15.
Number of tasks executed in Edge.
Fig 16.
Average energy consumption in cloud.
Fig 17.
Average energy consumption in Edge.
Fig 18.
Average CPU utilization in cloud.
Fig 19.
Average CPU utilization in Edge.
Fig 20.
Number of tasks executed in cloud.
Fig 21.
Number of tasks executed in Edge.