Andrew Stephen McGough
Developing a Cost-Effective Virtual Cluster on the Cloud
McGough, Andrew Stephen
Authors
Contributors
Kurt Vanmechelen
Editor
Jörn Altmann
Editor
Omer F. Rana
Editor
Abstract
The Cloud provides highly democratic access to computer services on a pay-per-use basis. A fact that has encouraged many researchers to adopt the Cloud for the processing of large computational tasks and data storage. This has been used in the past for single research endeavours or as mechanism for coping with excessive load on conventional computational resources (clusters). In this paper we investigate, through the use of simulation, the applicability of running an entire computer cluster on the Cloud. We investigate a number of policy decisions which can be made over such a virtual cluster to reduce the running cost and the effect these policies have on the users of the cluster.
Citation
McGough, A. S. (2012). Developing a Cost-Effective Virtual Cluster on the Cloud. In K. Vanmechelen, J. Altmann, & O. F. Rana (Eds.), Economics of grids, clouds, systems, and services: 8th International Workshop, GECON 2011, Paphos, Cyprus, December 5, 2011; Revised Selected Papers (185-197). Springer Verlag. https://doi.org/10.1007/978-3-642-28675-9_14
Acceptance Date | Dec 13, 2015 |
---|---|
Publication Date | Jan 1, 2012 |
Deposit Date | Dec 13, 2015 |
Publicly Available Date | Mar 29, 2024 |
Publisher | Springer Verlag |
Pages | 185-197 |
Series Title | Lecture notes in computer science |
Book Title | Economics of grids, clouds, systems, and services: 8th International Workshop, GECON 2011, Paphos, Cyprus, December 5, 2011; Revised Selected Papers |
ISBN | 9783642286742 |
DOI | https://doi.org/10.1007/978-3-642-28675-9_14 |
Files
Accepted Book Chapter
(374 Kb)
PDF
Copyright Statement
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-28675-9_14
You might also like
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems
(2017)
Conference Proceeding
Efficient Comparison of Massive Graphs Through The Use Of 'Graph Fingerprints'
(2016)
Conference Proceeding
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search