MATEC Web Conf.
Volume 68, 20162016 The 3rd International Conference on Industrial Engineering and Applications (ICIEA 2016)
|Number of page(s)||5|
|Section||Environment and Energy|
|Published online||01 August 2016|
Leveraging Renewable Energies in Distributed Private Clouds
1 Department of Applied Computer Science, Fulda University of Applied Sciences, Fulda, Germany
2 Department of Informatics, Division Computer Engineering, Clausthal University of Technology, Germany
a Corresponding author: Christian.Pape@informatik.hs-fulda.de
The vast and unstoppable rise of virtualization technologies and the related hardware abstraction in the last years established the foundation for new cloud-based infrastructures and new scalable and elastic services. This new paradigm has already found its way in modern data centers and their infrastructures. A positive side effect of these technologies is the transparency of the execution of workloads in a location-independent and hardware-independent manner. For instance, due to higher utilization of underlying hardware thanks to the consolidation of virtual resources or by moving virtual resources to sites with lower energy prices or more available renewable energy resources, data centers can counteract their economic and ecological downsides resulting from their steadily increasing energy demand. This paper introduces a vector-based algorithm for the placement of virtual machines in distributed private cloud environments. After outlining the basic operation of our approach, we provide a formal definition as well as an outlook for further research.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.