Recently, the infrastructure of cloud computing has gained most importance due to Internet of Things' (IoT) ongoing advances, which produce massive amounts of data. For satisfying the demands by the IoT device network. The proposed Fog computing system is expected to represent the upcoming stage of cloud-based computing. One of the difficulties fog computing faces is the proper allocation of computing power to decrease processing times and operational costs. In this research paper a novel method for reducing operational costs and optimizing task scheduling s in a cloud-fog environment is discussed. This paper proposes an IBEA algorithm to assign service requests with the objective to minimize completing time and operating cost.

Cloud computing, IoT things, IBEA algorithm, optimization, Quality of Service