Szczegóły publikacji
Opis bibliograficzny
Container-based platform for computational medicine / Gennaro Junior Pezzullo, Beniamino Di Martino, Marian BUBAK // W: AINA 2022 : Advanced Information Networking and Applications : proceedings of the 36th International conference on Advanced Information Networking and Applications : [Sydney, Australia, April 13-15, 2022], Vol. 3 / eds. Leonard Barolli, Farookh Hussain, Tomoya Enokido. — Cham : Springer Nature Switzerland AG, cop. 2022. — (Lecture Notes in Networks and Systems ; ISSN 2367-3370 ; vol. 451). — ISBN: 978-3-030-99618-5 ; e-ISBN: 978-3-030-99619-2. — S. 131–140. — Bibliogr., Abstr. — M. Bubak - dod. afiliacja: Sano Centre for Computational Medicine, Krakow, Poland
Autorzy (3)
- Pezzullo Gennaro Junior
- Di Martino Beniamino
- AGHBubak Marian
Dane bibliometryczne
ID BaDAP | 140179 |
---|---|
Data dodania do BaDAP | 2022-06-14 |
DOI | 10.1007/978-3-030-99619-2_13 |
Rok publikacji | 2022 |
Typ publikacji | materiały konferencyjne (aut.) |
Otwarty dostęp | |
Wydawca | Springer |
Konferencja | The 36th international conference on Advanced Information Networking and Applications |
Czasopismo/seria | Lecture Notes in Networks and Systems |
Abstract
In recent years the concept of “containerization” thanks to commercial software development has become a very promising paradigm also for e-science. In this paper, we present how this paradigm may significantly facilitate the creation of platforms for advanced scientific simulations. We present how with currently available containerization technologies, you can design a platform for simulation in the field of computational medicine with the same functionality as cloud system called Atmosphere, developed in 2011-14 ACK Cyfronet AGH for the Virtual Physiological Human community. The Atmosphere, based on the virtualization concept, provides support thanks to an intuitive interface that performs workflows on-demand cloud computing as well as access to cloud storage. After careful analysis of the Atmosphere structure, a redesign of the platform was subsequently carried out using container-based technologies, in particular Kubernetes. After architectural remodeling based on analysis of requirements and containerization possibilities, an implementation has followed through a Maven project in Java using the Kubernetes API. All this was followed by a validation phase to verify the actual operation. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.