By Topic

Dynamic placement of virtual machines for cost optimization in multi-cloud environments

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jose Luis Lucas Simarro ; Dept. de Arquitectura de Computadores y Automatica, Universidad Complutense de Madrid, 28040 Madrid, Spain ; Rafael Moreno-Vozmediano ; Ruben S. Montero ; I. M. Llorente

The number of providers in the cloud computing market is increasing at rapid pace. At the same time, we are observing a fragmentation of the market in terms of pricing schemes, virtual machine offers and value-add features. In the early phase of cloud adoption, the price model was dominated by fixed prices. However, cloud market trend shows that dynamic pricing schemes utilization is being increased. In this plan, prices change according to demand in each cloud provider. In general, it is difficult for users to search cloud prices and decide where to put their resources. In this paper, we propose a scheduling model for optimizing virtual cluster placements across available cloud offers. This scheduler uses some variables such as average prices or cloud prices trends for suggesting an optimal deployment. Also, this scheduler is part of a cloud broker which automates actions and makes them transparent for users. The performance of our model is evaluated in a real-world cloud environment and the results show that user's investment decreases when part of the virtual infrastructure is dynamically distributed among clouds instead of maintaining it in a fixed one.

Published in:

High Performance Computing and Simulation (HPCS), 2011 International Conference on

Date of Conference:

4-8 July 2011