The Cloud Computing model leverages virtualization of computing resources allowing customers to provision resources on-demand on a pay-as-you-go basis. During recent years, the power consumption of datacenters in cloud environment attracted researchers. Optimization of energy consumption can be performed by different methods including virtual machine (VM) consolidation. This technique can reduc...

Dynamic consolidation of virtual machines (VMs) is an efficient approach for improving the utilization of physical resources and reducing energy consumption in cloud data centers. Despite the large volume of research published on this topic, there are very few open-source software systems implementing dynamic VM consolidation. In this paper, we propose an architecture and open-source implementa...

Underutilization of computing resources and high power consumption are two primary challenges in the domain of Cloud resource management. This paper deals with these challenges through offline, migration impact-aware, multi-objective dynamic Virtual Machine (VM) consolidation in the context of large-scale virtualized data center environments. The problem is formulated as an NP-hard discrete com...

Background: Virtual Machine (VM) consolidation is an effective technique to improve resource utilization and reduce energy footprint in cloud data centers. It can be implemented in a centralized or a distributed fashion. Distributed VM consolidation approaches are currently gaining popularity because they are often more scalable than their centralized counterparts and they avoid a single point ...

Live Virtual Machine (VM) consolidation is an effective method of improving energy-efficiency level in green data centers. Currently, to evaluate energy consumption in green data centers, energy-efficiency evaluation model with CPU utilization rate has been proposed. However, it is not suitable for dataintensive computing due to great energy consumption by GPU-intensive processing. In this pape...

In this paper, we present a novel multi-objective ant colony system algorithm for virtual machine (VM) consolidation in cloud data centers. The proposed algorithm builds VM migration plans, which are then used to minimize over-provisioning of physical machines (PMs) by consolidating VMs on under-utilized PMs. It optimizes two objectives that are ordered by their importance. The first and foremo...

Virtual Machine (VM) Consolidation contributed a lot in energy efficient computing in the cloud data centers. Virtualization played a great role in virtual machine consolidation by facilitating the live VMs to be migrated resulting in packing the maximum number of VMs in minimum possible physical hosts .Energy efficient computing is not only good for reducing the overall operational cost of the...

Energy consumption of massive-scale cloud data centers is increasing unacceptably. There is a need to improve the energy efficiency of such data centers using Server Consolidation which aims at minimizing the number of Active Physical Machines (APMs) in a data center. Effective VM placement and migration techniques act as a key to optimum consolidation. Many of the recently proposed techniques ...