Improving energy efficiency of computing servers and communication fabric in cloud data centers

Cloud Computing has started to dominate the computing environment in recent days. Despite its various advantages, it has a threat of high energy consumption from both computing servers and communication fabric. Most of the existing work for reducing Data Center energy consumption is focused at computing servers only. The goal of the proposed work is to minimize the energy consumption at both computing servers and communication devices. Enhanced weighted Dynamic Voltage Frequency Scheduling Algorithm(DVFS) for assigning tasks to virtual machine is implemented for minimizing energy consumption of the computing servers. Also availability of renewable energy powered Data Centers is checked for scheduling jobs. Networking devices such as switches, routers which are part of the communication fabric also contribute to the major energy consumption in the cloud Data Centers. In this work for reducing energy consumption from networking components of the Data Center is addressed by extending Energy-Efficient Network Aware Scheduling (DENS) with stochastic hybrid load balancer. The proposed system is evaluated for set of independent tasks and also on scientific workflow applications which contain set of interdependent tasks.