Szczegóły publikacji
Opis bibliograficzny
Energy-constrained provisioning for scientific workflow ensembles / Ilia Pietri, Maciej MALAWSKI, Gideon Juve, Ewa Deelman, Jarek Nabrzyski, Rizos Sakellariou // W: CGC 2013 ; SCA 2013 [Dokument elektroniczny] : IEEE third international conference on Cloud and Green Computing ; IEEE third international conference on Social Computing and its Applications : 30 September – 2 October 2013, Karlsruhe, Germany : proceedings. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2013. — ISBN: 978-0-7695-5114-2. — S. 34–41. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp==6686006 [2014-04-09]. — Bibliogr. s. 41, Abstr.
Autorzy (6)
- Pietri Ilia
- AGHMalawski Maciej
- Juve Gideon
- Deelman Ewa
- Nabrzyski Jarek
- Sakellariou Rizos
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 80940 |
|---|---|
| Data dodania do BaDAP | 2014-04-25 |
| DOI | 10.1109/CGC.2013.14 |
| Rok publikacji | 2013 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 3rd IEEE International Conference on Cloud and Green Computing |
Abstract
Large computational problems may often be modelled using multiple scientific workflows with similar structure. These workflows can be grouped into ensembles, which may be executed on distributed platforms such as the Cloud. In this paper, we focus on the provisioning of resources for scientific workflow ensembles and address the problem of meeting energy constraints along with either budget or deadline constraints. We propose and evaluate two energy-aware algorithms that can be used for resource provisioning and task scheduling. Experimental evaluation is based on simulations using synthetic data based on parameters of real scientific workflow applications. The results show that our proposed algorithms can meet constraints and minimize energy consumption without compromising the number of completed workflows in an ensemble.
