Cost-optimized parallel computations using volatile cloud resources
- In recent years, the parallel computing community has shown increasing interest in leveraging cloud resources for executing parallel applications. Clouds exhibit several fundamental features of economic value, like on-demand resource provisioning and a pay-per-use model. Additionally, several cloud providers offer their resources with significant discounts; however, possessing limited availability. Such volatile resources are an auspicious opportunity to reduce the costs arising from computations, thus achieving higher cost efficiency. In this paper, we propose a cost model for quantifying the monetary costs of executing parallel applications in cloud environments, leveraging volatile resources. Using this cost model, one is able to determine a configuration of a cloud-based parallel system that minimizes the total costs of executing an application.
| Author of HS Reutlingen | Haußmann, Jens; Blochinger, Wolfgang |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-030-36027-6_4 |
| ISBN: | 978-3-030-36027-6 |
| Erschienen in: | Economics of grids, clouds, systems, and services : 16th International Conference, GECON 2019, Leeds, UK, September 17-19, 2019: proceedings. - (Computer communication networks and telecommunications ; 11819) |
| Publisher: | Springer |
| Place of publication: | Cham |
| Editor: | Karim Djemane |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2019 |
| Tag: | cloud computing; cost model; parallel computing |
| Page Number: | 9 |
| First Page: | 45 |
| Last Page: | 53 |
| PPN: | Im Katalog der Hochschule Reutlingen ansehen |
| DDC classes: | 004 Informatik |
| Open access?: | Nein |
| Licence (German): |  In Copyright - Urheberrechtlich geschützt |
