P2BED-C: A Novel Peer to Peer Load Balancing and Energy Efficient Technique for Data-Centers Over Cloud

In recent days, cloud computing data centres are considerably involved in performing operations. It accounts for the enormous energy consumption, which increases with an increase in computing capacity. Thinking with respect for the environment, reducing operating costs and energy consumption can prove to be beneficial. Previous works in data-centre energy optimization only involved scheduling the job between the servers based on thermal profiles or workload parameters. Dynamic power management by shutting down the free accessories of data centres was also considered in many models to reduce energy consumption. Further, the role of the communication fabric focused on energy consumption. The proposed work focuses on the minimization of energy consumption at both computing servers and communicating devices. Here, a parameter is defined named config to initialize the configuration of a system in a current state. The parameter will assist the existing Dynamic Voltage Frequency Scheduling (DVFS) scheme for assigning the tasks to a virtual machine to minimize energy consumption at computing servers. Moreover, it extends the Data-centre Energy-efficient Network-aware Scheduling (DENS) with the peer-to-peer load balancer to reduce energy consumption from networking components. The proposed system uses a scheduling algorithm for the cloud data centre, which reduces the energy consumption both at the server and the communication fabric level. Based on the number of samples for the energy consumption, 95% confidence achieve. Energy consumed by the proposed P2BED-C model is 1610.22 Wxh, while other existing approaches FCFS and Round Robin consumed 1684.32 and 1678.35, respectively. The results show considerable improvement in the power utilization of the server resulting in more power savings.