Cloud computing connotes the systematic delivery of computing resources as services to a wide range of users via the Internet. One form of Cloud computing, Infrastructure as a Service (IaaS), ensures the availability of the resources in the form of Virtual Machines (VMs). Such services are leased to users based on demand and are paid for on a pay-per-use basis. This helps to reduce the cost of running the computing needs of the users. Usually, the VMs are ran on datacenters comprise several computing resources that consume lots of energy, and causing hazardous levels of carbon emissions into the atmosphere. Several researchers have proposed various energy-efficient methods of reducing the energy consumption of the datacenters. Nature has been a cause of inspiration and had a solution to all problem. Therefore, this paper presents a comprehensive review of the state-of-the-art, Nature-Inspired algorithms that have been used in solving the energy issues in the Cloud datacenters. We have categorized all the methods considered into three main techniques; virtualization, consolidation, and energy-awareness. Moreover, we reviewed the different methods in terms their goals, methods, advantages, and limitations. We then compared the nature-inspired algorithms based on their features to indicate their utilization of resources and their levels of energy-efficiency. Finally, we have suggested the potential research directions in this research field. We believe that this review work will be of interest to researchers and professional in Cloud computing datacenters in their quest to providing better energy-efficient methods to address the energy consumption issues of the Cloud datacenters..
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