Virtual Machine Replica Placement Using a Multiobjective Genetic Algorithm

Availability-Aware Energy-Efficient Virtual Machine Placement Algorithm

—Availability, as a part of Service Level Agreement (SLA), is a critically important issue in cloud services, which are affected by server or network failures in datacenters. Cloud service providers seek to not only fulfill the SLA, but also simultaneously minimize their operating costs, which are dominated by the energy consumption. In order to minimize the impact of a server/switch failure o...

Which is the best algorithm for virtual machine placement optimization?

One of the key problems for Infrastructure-as-a-Service providers is finding the optimal allocation of virtual machines (VMs) on the physical machines available in the provider’s data center. Since the allocation has significant impact on operational costs as well as on the performance of the accommodated applications, several algorithms have been proposed for the VM placement problem. So far, ...

An efficient traffic-aware virtual machine placement algorithm (TVMP)

Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm

Server consolidation using virtualization technology has become an important technology to improve the energy e ciency of data centers. Virtual machine placement is the key in the server consolidation. In the past few years, many approaches to the virtual machine placement have been proposed. However, existing virtual machine placement approaches to the virtual machine placement problem conside...

Multiobjective Genetic Based Algorithm

In this paper, a novel approach based on handling constraints as objectives together with a modified Parks & Miller elitist technique, to solve constrained multiobjective optimization problems, is analyzed with Niched Pareto Genetic Algorithm. The performance of this approach is compared with the classical procedure of handling constraints that is the exterior penalty function method. Results a...