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Virtualization allows multiple operating systems to run on a single physical machine, reducing the need for physical hardware, energy consumption, and associated carbon footprint. In distributed systems, it optimizes resource utilization and enables server consolidation.

DVFS adjusts the voltage and frequency of a processor dynamically based on workload. It reduces power consumption and heat generation. In distributed systems, DVFS can be applied to scale resources in response to real-time demand, improving energy efficiency.

Energy-aware algorithms focus on reducing the energy consumption of computing processes by optimizing resource usage. In distributed systems, these algorithms can manage tasks by considering energy efficiency in task allocation and execution across nodes.

Efficient cooling systems can significantly reduce the energy required to maintain optimal operating temperatures in data centers. In distributed systems, advanced cooling solutions can be implemented across different sites to improve overall energy efficiency.

DCIM comprises tools and methodologies to optimize data center operations and resource use, leading to energy savings. For distributed systems, DCIM is crucial for monitoring and managing energy consumption across geographically dispersed data centers.

Cloud computing utilizes shared computing resources to offer scalable services with potentially lower environmental impact per user. In distributed systems, cloud services can reduce on-site hardware needs and take advantage of energy-efficient large-scale data centers.