Trade-off between Performance and Energy Management in Autonomic and Green Data Centers

Abstract

In recent years, energy optimization of cloud data centers got important consideration since data centers in activity frequently expend huge energy rates. In fact, the expanding processing capacity of data centers and its complexity, increases impressively their energy consumption which prompts to important losses for companies. With the end goal to reduce the energy consumption of the system, researchers and cloud specialist have proposed techniques which experience the design of locations for data centers, and others adopted methods for the optimized management of resources in data centers. While other researchers, adopted the autonomic computing paradigm for having automated and adaptive cloud data center management. Most existing energy efficiency techniques focus on how to properly solve the tradeoff between performance and energy consumption in cloud computing infrastructure. In this paper, we focus on the energy consumption of the data centers and how this can be reduced in order to make the cloud computing greener. Likewise, we highlight the importance of integrating the autonomy aspect to the solution so as to avail the most optimum level of resources management with minimized server energy consumption.