Cargando…

Training Infrastructure as a Service

BACKGROUND: Hands-on training, whether in bioinformatics or other domains, often requires significant technical resources and knowledge to set up and run. Instructors must have access to powerful compute infrastructure that can support resource-intensive jobs running efficiently. Often this is achie...

Descripción completa

Detalles Bibliográficos
Autores principales: Rasche, Helena, Hyde, Cameron, Davis, John, Gladman, Simon, Coraor, Nate, Bretaudeau, Anthony, Cuccuru, Gianmauro, Bacon, Wendi, Serrano-Solano, Beatriz, Hillman-Jackson, Jennifer, Hiltemann, Saskia, Zhou, Miaomiao, Grüning, Björn, Stubbs, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316688/
https://www.ncbi.nlm.nih.gov/pubmed/37395629
http://dx.doi.org/10.1093/gigascience/giad048
_version_ 1785067761686282240
author Rasche, Helena
Hyde, Cameron
Davis, John
Gladman, Simon
Coraor, Nate
Bretaudeau, Anthony
Cuccuru, Gianmauro
Bacon, Wendi
Serrano-Solano, Beatriz
Hillman-Jackson, Jennifer
Hiltemann, Saskia
Zhou, Miaomiao
Grüning, Björn
Stubbs, Andrew
author_facet Rasche, Helena
Hyde, Cameron
Davis, John
Gladman, Simon
Coraor, Nate
Bretaudeau, Anthony
Cuccuru, Gianmauro
Bacon, Wendi
Serrano-Solano, Beatriz
Hillman-Jackson, Jennifer
Hiltemann, Saskia
Zhou, Miaomiao
Grüning, Björn
Stubbs, Andrew
author_sort Rasche, Helena
collection PubMed
description BACKGROUND: Hands-on training, whether in bioinformatics or other domains, often requires significant technical resources and knowledge to set up and run. Instructors must have access to powerful compute infrastructure that can support resource-intensive jobs running efficiently. Often this is achieved using a private server where there is no contention for the queue. However, this places a significant prerequisite knowledge or labor barrier for instructors, who must spend time coordinating deployment and management of compute resources. Furthermore, with the increase of virtual and hybrid teaching, where learners are located in separate physical locations, it is difficult to track student progress as efficiently as during in-person courses. FINDINGS: Originally developed by Galaxy Europe and the Gallantries project, together with the Galaxy community, we have created Training Infrastructure-as-a-Service (TIaaS), aimed at providing user-friendly training infrastructure to the global training community. TIaaS provides dedicated training resources for Galaxy-based courses and events. Event organizers register their course, after which trainees are transparently placed in a private queue on the compute infrastructure, which ensures jobs complete quickly, even when the main queue is experiencing high wait times. A built-in dashboard allows instructors to monitor student progress. CONCLUSIONS: TIaaS provides a significant improvement for instructors and learners, as well as infrastructure administrators. The instructor dashboard makes remote events not only possible but also easy. Students experience continuity of learning, as all training happens on Galaxy, which they can continue to use after the event. In the past 60 months, 504 training events with over 24,000 learners have used this infrastructure for Galaxy training.
format Online
Article
Text
id pubmed-10316688
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-103166882023-07-04 Training Infrastructure as a Service Rasche, Helena Hyde, Cameron Davis, John Gladman, Simon Coraor, Nate Bretaudeau, Anthony Cuccuru, Gianmauro Bacon, Wendi Serrano-Solano, Beatriz Hillman-Jackson, Jennifer Hiltemann, Saskia Zhou, Miaomiao Grüning, Björn Stubbs, Andrew Gigascience Technical Note BACKGROUND: Hands-on training, whether in bioinformatics or other domains, often requires significant technical resources and knowledge to set up and run. Instructors must have access to powerful compute infrastructure that can support resource-intensive jobs running efficiently. Often this is achieved using a private server where there is no contention for the queue. However, this places a significant prerequisite knowledge or labor barrier for instructors, who must spend time coordinating deployment and management of compute resources. Furthermore, with the increase of virtual and hybrid teaching, where learners are located in separate physical locations, it is difficult to track student progress as efficiently as during in-person courses. FINDINGS: Originally developed by Galaxy Europe and the Gallantries project, together with the Galaxy community, we have created Training Infrastructure-as-a-Service (TIaaS), aimed at providing user-friendly training infrastructure to the global training community. TIaaS provides dedicated training resources for Galaxy-based courses and events. Event organizers register their course, after which trainees are transparently placed in a private queue on the compute infrastructure, which ensures jobs complete quickly, even when the main queue is experiencing high wait times. A built-in dashboard allows instructors to monitor student progress. CONCLUSIONS: TIaaS provides a significant improvement for instructors and learners, as well as infrastructure administrators. The instructor dashboard makes remote events not only possible but also easy. Students experience continuity of learning, as all training happens on Galaxy, which they can continue to use after the event. In the past 60 months, 504 training events with over 24,000 learners have used this infrastructure for Galaxy training. Oxford University Press 2023-07-03 /pmc/articles/PMC10316688/ /pubmed/37395629 http://dx.doi.org/10.1093/gigascience/giad048 Text en © The Author(s) 2023. Published by Oxford University Press GigaScience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Note
Rasche, Helena
Hyde, Cameron
Davis, John
Gladman, Simon
Coraor, Nate
Bretaudeau, Anthony
Cuccuru, Gianmauro
Bacon, Wendi
Serrano-Solano, Beatriz
Hillman-Jackson, Jennifer
Hiltemann, Saskia
Zhou, Miaomiao
Grüning, Björn
Stubbs, Andrew
Training Infrastructure as a Service
title Training Infrastructure as a Service
title_full Training Infrastructure as a Service
title_fullStr Training Infrastructure as a Service
title_full_unstemmed Training Infrastructure as a Service
title_short Training Infrastructure as a Service
title_sort training infrastructure as a service
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316688/
https://www.ncbi.nlm.nih.gov/pubmed/37395629
http://dx.doi.org/10.1093/gigascience/giad048
work_keys_str_mv AT raschehelena traininginfrastructureasaservice
AT hydecameron traininginfrastructureasaservice
AT davisjohn traininginfrastructureasaservice
AT gladmansimon traininginfrastructureasaservice
AT coraornate traininginfrastructureasaservice
AT bretaudeauanthony traininginfrastructureasaservice
AT cuccurugianmauro traininginfrastructureasaservice
AT baconwendi traininginfrastructureasaservice
AT serranosolanobeatriz traininginfrastructureasaservice
AT hillmanjacksonjennifer traininginfrastructureasaservice
AT hiltemannsaskia traininginfrastructureasaservice
AT zhoumiaomiao traininginfrastructureasaservice
AT gruningbjorn traininginfrastructureasaservice
AT stubbsandrew traininginfrastructureasaservice