Location-Constrained Virtual Machine Placement (LCVP) Algorithm

Virtual Machine Placement for Predictable and Time-Constrained Peak Loads

We present an approach to optimal virtual machine placement within datacenters for predicable and time-constrained load peaks. A method for optimal load balancing is developed, based on binary integer programming. For tradeoffs between quality of solution and computation time, we also introduce methods to pre-process the optimization problem before solving it. Upper bound based optimizations ar...

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)

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...