Abstract:
As the demands of cloud computing intensify,
more facilities running power-intensive servers are
necessary for cloud data centers. Such data center
servers consume a large amount of energy, resulting
in high operating costs. Therefore, high energy
consumption has become a growing problem for cloud
data centers. This paper proposes two energy-saving
resource allocation algorithms that take into account
several energy efficiency factors: resource allocation
policies, power management techniques, and power
models for better energy management in cloud data
centers. These two algorithms are implemented on
CloudSim toolkit and evaluated with real-world
workload data. By the experimental evaluation of
these algorithms for competitive analysis of energy
consumption, we found that this work contributes to
save the energy consumption in cloud data centers.
