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https://doi.org/10.21256/zhaw-3774| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | FaaSter, better, cheaper : the prospect of serverless scientific computing and HPC |
| Authors: | Spillner, Josef Mateos, Cristian Monge, David A. |
| DOI: | 10.1007/978-3-319-73353-1_11 10.21256/zhaw-3774 |
| Proceedings: | High Performance Computing |
| Editors of the parent work: | Mocskos, Esteban Nesmachnow, Sergio |
| Page(s): | 154 |
| Pages to: | 168 |
| Conference details: | 4th Latin American Conference (CARLA 2017), Buenos Aires, Argentina, and Colonia del Sacramento, Uruguay, 20-22 September 2017 |
| Issue Date: | 2017 |
| Series: | Communications in Computer and Information Science |
| Series volume: | 796 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-319-73352-4 978-3-319-73353-1 |
| Language: | English |
| Subject (DDC): | 004: Computer science |
| Abstract: | The adoption of cloud computing facilities and programming models differs vastly between different application domains. Scalable web applications, low-latency mobile backends and on-demand provisioned databases are typical cases for which cloud services on the platform or infrastructure level exist and are convincing when considering technical and economical arguments. Applications with specific processing demands, including high-performance computing, high-throughput computing and certain flavours of scientific computing, have historically required special configurations such as compute- or memory-optimised virtual machine instances. With the rise of function-level compute instances through Function-as-a-Service (FaaS) models, the fitness of generic configurations needs to be re-evaluated for these applications. We analyse several demanding computing tasks with regards to how FaaS models compare against conventional monolithic algorithm execution. Beside the comparison, we contribute a refined FaaSification process for legacy software and provide a roadmap for future work. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/7130 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| faaster-better-cheaper-archive.pdf | 855.99 kB | Adobe PDF |  View/Open |
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Spillner, J., Mateos, C., & Monge, D. A. (2017). FaaSter, better, cheaper : the prospect of serverless scientific computing and HPC [Conference paper]. In E. Mocskos & S. Nesmachnow (Eds.), High Performance Computing (pp. 154–168). Springer. https://doi.org/10.1007/978-3-319-73353-1_11
Spillner, J., Mateos, C. and Monge, D.A. (2017) ‘FaaSter, better, cheaper : the prospect of serverless scientific computing and HPC’, in E. Mocskos and S. Nesmachnow (eds) High Performance Computing. Cham: Springer, pp. 154–168. Available at: https://doi.org/10.1007/978-3-319-73353-1_11.
J. Spillner, C. Mateos, and D. A. Monge, “FaaSter, better, cheaper : the prospect of serverless scientific computing and HPC,” in High Performance Computing, 2017, pp. 154–168. doi: 10.1007/978-3-319-73353-1_11.
SPILLNER, Josef, Cristian MATEOS und David A. MONGE, 2017. FaaSter, better, cheaper : the prospect of serverless scientific computing and HPC. In: Esteban MOCSKOS und Sergio NESMACHNOW (Hrsg.), High Performance Computing. Conference paper. Cham: Springer. 2017. S. 154–168. ISBN 978-3-319-73352-4
Spillner, Josef, Cristian Mateos, and David A. Monge. 2017. “FaaSter, Better, Cheaper : The Prospect of Serverless Scientific Computing and HPC.” Conference paper. In High Performance Computing, edited by Esteban Mocskos and Sergio Nesmachnow, 154–68. Cham: Springer. https://doi.org/10.1007/978-3-319-73353-1_11.
Spillner, Josef, et al. “FaaSter, Better, Cheaper : The Prospect of Serverless Scientific Computing and HPC.” High Performance Computing, edited by Esteban Mocskos and Sergio Nesmachnow, Springer, 2017, pp. 154–68, https://doi.org/10.1007/978-3-319-73353-1_11.
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