A Brief Survey of Energy-Efficient Task Scheduling Algorithms in the Cloud

Research and development in cloud computing technology have become one of the primary focuses for academics and enterprises because of its immense popularity, higher utility, and ever-increasing demand. Scheduling cloud tasks in an energy-efficient manner is challenging and has become an important area of research too. Energy is becoming scarce, and high energy consumption from data centers forces us to develop energy-efficient algorithms so that cloud resources are not over and under-utilized. The main challenge here is to develop energy-aware algorithms for different environments that perform optimally without compromising the deadline and other important QoS parameters. This paper has systematically reviewed and classified recent energy-efficient scheduling algorithms along with their objectives, type, working concepts, pros, limitations and simulation tools. Our systematic and comprehensive survey will benefit the initial understanding of energy-efficient algorithms for the new researchers who wish to further research in the energy domain.