In order to optimize the resource utilization of physical machines (PMs), the workload
prediction of virtual machines (VMs) is vital but challenging. Most of existing literatures focus …

Cloud computing provides utility computing in which clients pay the cost according to their
demands and service use. There are some challenges to this technology. One of these …

Due to the growing demand of cloud services, allocation of energy efficient resources (CPU,
memory, storage, etc.) and resources utilization are the major challenging issues of a large …

Data centers evolve constantly in size, complexity, and power consumption. Energy
management in cloud data centers is a critical and challenging research issue. It becomes …

Cloud computing provides the scalable computation capability based on a virtualization
technique. The energy conservation for green computing is one of the vital issues while …

The virtual machine (VM) allocation problem is one of the main issues in cloud data centers.
This article proposes a new metaheuristic method to optimize joint task scheduling and VM …

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 …

Cloud data centers consume a large amount of energy that leads to a high carbon footprint.
Taking into account a carbon tax imposed on the emitted carbon makes energy and carbon …

One of the most critical concerns of cloud service providers is balancing renewable and
fossil energy consumption. On the other hand, the policy of organizations and governments …

To reduce the price of pay-as-you-go style cloud applications, an increasing number of
cloud service providers offer resource reservation-based services that allow tenants to …