Dynamic Voltage and Frequency Scaling (Dvfs) Technique in Cloud Computing Environment

Resumen

Because of falling hardware, software, and maintenance costs, cloud computing's hosted
application and service model has been more popular in recent years. Users of cloud-based
services have access to a shared pool of virtual resources housed in huge data centres, which
might be useful for a wide range of information and communication services with highly
varying resource needs. Cloud data centres have a big carbon footprint and a high electric
cost since they use so much power. It's no surprise that effective resource management in
cloud systems has become a top priority for cloud providers, which in turn has piqued the
attention of academics in developing new methods of conserving energy without sacrificing
performance. The primary goals of this work are to (1) offer a fresh, comprehensive
taxonomy for energy-efficient cloud resource management systems, (2) assess and categorise
current methodologies in light of our proposed taxonomy, and (3) identify new avenues for
research in this field. To cut down on power waste and premature server consolidation
methods, the dynamic voltage frequency scaling (DVFS) method may modify the operating
voltage and frequency of servers depending on current workload. Here, we present dynamic
voltage and frequency scaling (DVFS) approaches as a means to dynamically minimise chip
power consumption in accordance with the specific performance needs of the application at
hand