Szczegóły publikacji
Opis bibliograficzny
A lightweight approach for deployment of scientific workflows in cloud infrastructures / Bartosz BALIŚ, Kamil FIGIELA, Maciej MALAWSKI, Maciej PAWLIK, Marian BUBAK // W: Parallel Processing and Applied Mathematics : 11th international conference, PPAM 2015 : Krakow, Poland, September 6–9, 2015 : revised selected papers, Pt. 1 / eds. Roman Wyrzykowski, [et al.]. — Swizerland : Springer International Publishing, cop. 2016. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; 9573). — ISBN: 978-3-319-32148-6; e-ISBN: 978-3-319-32149-3. — S. 281–290. — Bibliogr. s. 289–290, Abstr.
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 97590 |
|---|---|
| Data dodania do BaDAP | 2016-05-10 |
| DOI | 10.1007/978-3-319-32149-3_27 |
| Rok publikacji | 2016 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | Parallel Processing and Applied Mathematics |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
We propose a lightweight solution for deployment of scientific workflows in diverse cloud platforms. In the proposed deployment model, an instance of a workflow runtime environment is created on demand in the cloud as part of the workflow application. Such an approach improves isolation and helps overcome major issues of alternative solutions, leading to an easier integration. The concept has been implemented in the HyperFlow workflow environment. We describe the approach in gen- eral and illustrate it with two case studies showing the integration of HyperFlow with the PLGrid infrastructure, and the PaaSage cloud platform. Lessons learned from these two experiences lead to the conclusion that the proposed solution minimizes the development effort required to implement the integration, accelerates the deployment process in a production system, and reduces maintenance issues. Performance evaluation proves that, for certain workflows, the proposed approach can lead to significant improvement of the workflow execution time.