Szczegóły publikacji
Opis bibliograficzny
Cost minimization for computational applications on hybrid cloud infrastructures / Maciej MALAWSKI, Kamil Figiela, Jarek Nabrzyski // Future Generation Computer Systems ; ISSN 0167-739X. — 2013 — vol. 29 iss. 7, s. 1786–1794. — Bibliogr. s. 1793, Abstr. — Maciej Malawski dod. afiliacja: University of Notre Dame
Autorzy (3)
- AGHMalawski Maciej
- AGHFigiela Kamil
- Nabrzyski Jarek
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 74535 |
|---|---|
| Data dodania do BaDAP | 2013-08-09 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.future.2013.01.004 |
| Rok publikacji | 2013 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Future Generation Computer Systems |
Abstract
We address the problem of task planning on multiple clouds formulated as a mixed integer nonlinear programming problem (MINLP). Its specification with AMPL modeling language allows us to apply solvers such as Bonmin and Cbc. Our model assumes multiple heterogeneous compute and storage cloud providers, such as Amazon, Rackspace, GoGrid, ElasticHosts and a private cloud, parameterized by costs and performance, including constraints on maximum number of resources at each cloud. The optimization objective is the total cost, under deadline constraint. We compute the relation between deadline and cost for a sample set of data- and compute-intensive tasks, representing bioinformatics experiments. Our results illustrate typical problems when making decisions on deployment planning on clouds and how they can be addressed using optimization techniques. (C) 2013 Elsevier B.V. All rights reserved.
