The elasticity of cloud resources allows cloud clients to expand and shrink their demand for
resources dynamically over time. However, fluctuations in the resource demands and pre …

Virtual machine consolidation aims at reducing the number of active physical servers in a
data center so as to decrease the total power consumption. In this context, most of the …

Virtual Machine (VM) consolidation provides a promising approach to save energy and
improve resource utilization in data centers. Many heuristic algorithms have been proposed …

The dramatic increasing of data and demands for computing capabilities may result in
excessive use of resources in cloud data centers, which not only causes the raising of …

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) …

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 …

In cloud datacenters, effective resource provisioning is needed to maximize energy
efficiency and utilization of cloud resources while guaranteeing the Service Level …

Virtual machine (VM) consolidation provides a promising approach to save energy and to
improve resource utilization in data centers. However, the aggressive consolidation of virtual …

In recent years, cloud data centers are rapidly growing with a large number of finite
heterogeneous resources to meet the ever-growing user demands with respect to the SLA …

This work proposes an energy-efficient resource provisioning and allocation framework to
meet dynamic demands of the future applications. The frequent variations in a cloud user's …