Minimizing Energy Through Task Allocation Using Rao-2 Algorithm in Fog Assisted Cloud Environment

Nowadays, fog assisted cloud environment is a dominant field in the computational world which provides computational capabilities through virtualized services. The fog centers which promise their clients to deliver edge computing services contain many computational nodes which are responsible for consuming a large amount of energy. Transmitting all the data to the cloud and getting back from cloud causes high latency and requires high network bandwidth. In industrial IoT applications, there is an adequate amount of energy required in the fog layer which is encouraging area to be managed by the cloud service providers. Task scheduling is an important factor which contributes to the energy consumption in fog servers. In this paper, a Rao-2, a metaphor-less and parameter-less algorithm, is implemented, for scheduling the tasks in the fog center for energy conservation by achieving the QoS.