Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sebastián Risco"'
Autor:
Sebastián Risco, Germán Moltó
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1438 (2021)
Serverless computing has introduced scalable event-driven processing in Cloud infrastructures. However, it is not trivial for multimedia processing to benefit from the elastic capabilities featured by serverless applications. To this aim, this paper
Externí odkaz:
https://doaj.org/article/0dc56f16ffb14dd3b792d18e8c2d0183
Autor:
Diana M. Naranjo Delgado, Manuel Contreras, Germán Moltó, Sebastián Risco, Ignacio Blanquer, Javier Prades, Federico Silla
Publikováno v:
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering.
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Journal of Grid Computing
instname
Journal of Grid Computing
[EN] This paper introduces an open-source platform to support serverless computing for scientific data-processing workflow-based applications across the Cloud continuum (i.e. simultaneously involving both on-premises and public Cloud platforms to pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be158cbab787aa3b67eaadf05b866fe7
http://hdl.handle.net/10251/180321
http://hdl.handle.net/10251/180321
Autor:
Diana M. Naranjo, Ignacio Blanquer, Sebastián Risco, Germán Moltó, Carlos de Alfonso, Alfonso Pérez
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] This paper introduces a platform to support serverless computing for scalable event-driven data processing that features a multi-level elasticity approach combined with virtualization of GPUs. The platform supports the execution of applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10d1c0e6bd8b9df9bac74e19ef2e2827
Publikováno v:
CLOUD
The advent of open-source serverless computing frameworks has introduced the ability to bring the Functions-as-a-Service (FaaS) paradigm for applications to be executed on-premises. In particular, data-driven scientific applications can benefit from