Traditional data centers are shifted toward the cloud computing paradigm. These data
centers support the increasing demand for computational and data storage that consumes a …

Dynamic consolidation of virtual machines (VMs) is an effective technique, which can lead to
improvement of energy efficiency and resource utilization in cloud data centers. However …

The large-scale virtualized Cloud data centers consume huge amount of electrical energy
leading to high operational costs and emission of greenhouse gases. Virtual machine (VM) …

Dynamic consolidation of virtual machines (VMs) is an effective way to improve the
utilization of resources and energy efficiency in cloud data centers. Determining when it is …

Increasing demand for acquiring diverse range of services has led to the establishment of
huge energy hungry cloud data centers all around the world. Cloud providers face with …

In the age of the information explosion, the energy demand for cloud data centers has
increased markedly; hence, reducing the energy consumption of cloud data centers is …

Cloud computing has become a significant research area in large-scale computing, because
it can share globally distributed resources. Cloud computing has evolved with the …

With the advancement of cloud computing, the high energy consumption of cloud computing
data centers has become a prominent problem. In this paper, we propose a new virtual …

The rapid growth in demand for computational power driven by modern service applications
combined with the shift to the Cloud computing model have led to the establishment of large …

Improving the energy efficiency while guaranteeing quality of services (QoS) is one of the
main challenges of efficient resource management of large-scale data centers. Dynamic …