Reliable Virtual Machine Placement and Routing in Clouds

Virtual Machine Placement in Computing Clouds

Virtual Machine Placement Literature Review

Cloud Computing Datacenters host millions of virtual machines (VMs) on real world scenarios. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering also the large number of possible optimization criteria and different formulations that could be studied. VMP literature include relevant topics such as energy-efficie...

A Cross-Entropy-Based Admission Control Optimization Approach for Heterogeneous Virtual Machine Placement in Public Clouds

Virtualization technologies make it possible for cloud providers to consolidate multiple IaaS provisions into a single server in the form of virtual machines (VMs). Additionally, in order to fulfill the divergent service requirements from multiple users, a cloud provider needs to offer several types of VM instances, which are associated with varying configurations and performance, as well as di...

Evolutionary Game Theoretic Power Capping for Virtual Machine Placement in Clouds

This paper studies a multiobjective evolutionary game theoretic framework for application placement in clouds that support a power capping mechanism (e.g., Intel’s Runtime Average Power Limit–RAPL) for CPUs. Given the notion of power capping, power can be treated as a schedulable resource in addition to traditional resources such as CPU time share and bandwidth share. The proposed framework, ca...

Dynamic Virtual Machine Placement in Cloud Computing

Cloud computing enables users to have access to resources on demand. This leads to an increased number of physical machines and data centers in order to fulfill the needs of users which are continuously on the increase. The increase in the number of active physical machines is directly proportional to the increase in the energy consumption. Thus, minimization of energy consumption has become on...