An Energy Efficient Dynamic Schedule based Server Load Balancing Approach for Cloud Data Center

Cloud computing has firmly installed itself as a highly evolved concept for hosting and providing hardware and software resources across networks and the Internet. With rapidly emerging markets, cloud service providers have come up against a significant hurdle. Aspiring to remain firmly competitive in the long run, cloud service providers have realized that maintaining energy efficient controls in place without compromising performance is an aspect that cannot be ignored. With ever expanding sphere of cloud computing, energy demands for supporting computing resources and networks keep on growing. The high rate of demand for crucial energy needs is the salient point that keeps featuring in the horizon of almost every cloud computing service provider. Servers powering cloud computing services need to be supplied constantly with energy to support end users. To help ensure reduced energy consumption, we have examined the application of dynamic time schedule based server utilization method in our work. In this paper, we have applied this approach to cut back generation of heat by attempting to avoid server overloads. Our method involves different power consumption patterns which help saving energy costs. Consequently, carbon emission rates are kept under control. Thus, achieving a green cloud computing model is possible without additional cooling systems which would, in turn, have required more power to operate.