Resource management in cloud computing consists of allocating processing resources,
storage, and network to a set of software applications. Resource providers focus on …

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 …

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 …

Cloud data centers consume a multitude of power leading to the problem of high energy
consumption. In order to solve this problem, an energy-efficient virtual machine (VM) …

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 techniques optimize resource utilization and reduce energy
consumption in Cloud data centers. They should consider the variability of the workload to …

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 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 …

Cloud computing aims to provide dynamic leasing of server capabilities as scalable
virtualized services to end users. However, data centers hosting cloud applications consume …

The fast growth in demand for utility-based IT services has lead to the formation of large
scale Cloud data centers. The electrical energy consumption of these data centers results in …