Efficient Resource Allocation for Residential Smart Buildings Using Integrated Cloud and Fog Environment in Smart Grid

Cloud computing is an embedded computing technology that uses the internet to support large applications and servers to provide services to end users belongs to different companies. It has made accessibility of resources in flexible manners and improves the output and performance. However, in cloud computing load balancing and hosting of data centers on the internet creates unpredictable network latency. Resolved this problem by new computing model called Fog computing. In this paper, we are using cloud and fog computing environment in Smart Grid (SG) in an effective manner. Cloud and fog computing environment hold the energy management of groups of smart buildings. When a number of users increase cloud and fog load also increases and Response Time (RT) is too much high. So it is a big problem to reduce the RT. In this paper Highest Response Ratio Next (HRRN) algorithm, Round Robin (RR) and Throttled Algorithm (TA) are considered to reduce the RT. While considering these algorithms results are compared to each other.