The Scalable Systems Laboratory: a Platform for Software Innovation for HEP
The Scalable Systems Laboratory (SSL), part of the IRIS-HEP Software Institute, provides Institute participants and HEP software developers generally with a means to transition their R&D from conceptual toys to testbeds to production-scale prototypes. The SSL enables tooling, infrastructure, and...
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2020-01-01
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doaj-f9a8d91e58ad4c64981986abee7dcd5f2021-08-02T17:49:54ZengEDP SciencesEPJ Web of Conferences2100-014X2020-01-012450501910.1051/epjconf/202024505019epjconf_chep2020_05019The Scalable Systems Laboratory: a Platform for Software Innovation for HEPGardner Robert0Bryant Lincoln1Neubauer Mark2Wuerthwein Frank3Stephen Judith4Chien Andrew5Enrico Fermi Institute, University of ChicagoEnrico Fermi Institute, University of ChicagoUniversity of IllinoisUniversity of California San DiegoEnrico Fermi Institute, University of ChicagoEnrico Fermi Institute, University of ChicagoThe Scalable Systems Laboratory (SSL), part of the IRIS-HEP Software Institute, provides Institute participants and HEP software developers generally with a means to transition their R&D from conceptual toys to testbeds to production-scale prototypes. The SSL enables tooling, infrastructure, and services supporting innovation of novel analysis and data architectures, development of software elements and tool-chains, reproducible functional and scalability testing of service components, and foundational systems R&D for accelerated services developed by the Institute. The SSL is constructed with a core team having expertise in scale testing and deployment of services across a wide range of cyberinfrastructure. The core team embeds and partners with other areas in the Institute, and with LHC and other HEP development and operations teams as appropriate, to define investigations and required service deployment patterns. We describe the approach and experiences with early application deployments, including analysis platforms and intelligent data delivery systems.https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_05019.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gardner Robert Bryant Lincoln Neubauer Mark Wuerthwein Frank Stephen Judith Chien Andrew |
spellingShingle |
Gardner Robert Bryant Lincoln Neubauer Mark Wuerthwein Frank Stephen Judith Chien Andrew The Scalable Systems Laboratory: a Platform for Software Innovation for HEP EPJ Web of Conferences |
author_facet |
Gardner Robert Bryant Lincoln Neubauer Mark Wuerthwein Frank Stephen Judith Chien Andrew |
author_sort |
Gardner Robert |
title |
The Scalable Systems Laboratory: a Platform for Software Innovation for HEP |
title_short |
The Scalable Systems Laboratory: a Platform for Software Innovation for HEP |
title_full |
The Scalable Systems Laboratory: a Platform for Software Innovation for HEP |
title_fullStr |
The Scalable Systems Laboratory: a Platform for Software Innovation for HEP |
title_full_unstemmed |
The Scalable Systems Laboratory: a Platform for Software Innovation for HEP |
title_sort |
scalable systems laboratory: a platform for software innovation for hep |
publisher |
EDP Sciences |
series |
EPJ Web of Conferences |
issn |
2100-014X |
publishDate |
2020-01-01 |
description |
The Scalable Systems Laboratory (SSL), part of the IRIS-HEP Software Institute, provides Institute participants and HEP software developers generally with a means to transition their R&D from conceptual toys to testbeds to production-scale prototypes. The SSL enables tooling, infrastructure, and services supporting innovation of novel analysis and data architectures, development of software elements and tool-chains, reproducible functional and scalability testing of service components, and foundational systems R&D for accelerated services developed by the Institute. The SSL is constructed with a core team having expertise in scale testing and deployment of services across a wide range of cyberinfrastructure. The core team embeds and partners with other areas in the Institute, and with LHC and other HEP development and operations teams as appropriate, to define investigations and required service deployment patterns. We describe the approach and experiences with early application deployments, including analysis platforms and intelligent data delivery systems. |
url |
https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_05019.pdf |
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