Cargando…
Increasing the Execution Speed of Containerized Analysis Workflows Using an Image Snapshotter in Combination With CVMFS
The past years have shown a revolution in the way scientific workloads are being executed thanks to the wide adoption of software containers. These containers run largely isolated from the host system, ensuring that the development and execution environments are the same everywhere. This enables ful...
Autores principales: | Mosciatti, Simone, Lange, Clemens, Blomer, Jakob |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144464/ https://www.ncbi.nlm.nih.gov/pubmed/34046587 http://dx.doi.org/10.3389/fdata.2021.673163 |
Ejemplares similares
-
Increasing the Execution Speed of Containerized Analysis Workflows Using an Image Snapshotter in Combination With CVMFS
por: Mosciatti, Simone, et al.
Publicado: (2021) -
Scalable Declarative HEP Analysis Workflows for Containerised Compute Clouds
por: Šimko, Tibor, et al.
Publicado: (2021) -
Accessing data federations with CVMFS
por: Weitzel, Derek, et al.
Publicado: (2017) -
Named Data Networking for Genomics Data Management and Integrated Workflows
por: Ogle, Cameron, et al.
Publicado: (2021) -
Testing a Generalizable Machine Learning Workflow for Aquatic Invasive Species on Rainbow Trout (Oncorhynchus mykiss) in Northwest Montana
por: Carter, S., et al.
Publicado: (2021)