Cloud Computing Based Resource Allocation by Random Load Balancing Technique

In this paper, present Cloud-fog computing platform which provide efficiently their services via the internet by using remote servers to the residential areas. The increasing number of Internet of Things (IoT) devices and applications cause large data traffic on the cloud system which increase the response time and cost. To overcome this situation, fog computing concept is introduced in this paper. It also reduce the load of cloud and the latency rate of response time to the energy consumption side. Fogs have less storage capacity as compare to cloud, however have all the services available as in cloud side. The Smart Grid (SG) is a modern electric grid like smart meters and smart appliances which efficiently manage the resources allocation. In this work, consider a large geographical residential area divided into six regions and each region has a fog server to manage the energy requests coming from the end users. Each fog has a number of Virtual Machines (VMs) to efficiently manage the different user requests in minimum time and cost. The Micro Grids (MG's) are the small scale power grid which manage the energy consumption by reducing the time and cost of end users and are connected to the fog edges. Different load balancing and optimized techniques are used in cloud computing for the efficient resources allocation to the smart residential areas. In this paper an algorithm Random load balancing is used for reliable and efficient task scheduling to overcome the latency rate and cost of user in cloud computing environment.