The energy consumed by data centers hosting cloud services is increasing enormously. This brings the need to reduce energy consumption of different components in data centers. In this work, we focus on energy efficiency of the networking component. However, how different networking solutions impact energy consumption is still an open question. We investigate the state of the art in energy-efficient networking solutions in cloud-based environments. We follow a systematic literature review method to select primary studies. We create a metamodel based on the codes extracted from our primary studies using the Coding analytical method. Our findings show three abstraction levels of the proposed networking solutions to achieve energy efficiency in cloud-based environments: Strategy, Solution, and Technology. We study the historical trends in the investigated solutions and conclude that the emerging and most widely adopted one is the Decision framework.
Moghaddam et al. REF employed the Coding analytical method to create a metamodel based on the codes from some primary researches, and found that solution, technology and strategy were three abstraction levels of the proposed network solutions to achieve energy savings in cloud computing, besides, the decision framework would be the emerging and most widely adopted one.
Energy-Efficient Networking Solutions in Cloud-Based Environments: A Systematic Literature Review
CSUR
Computer Science