Software framework for federated science instruments

Thomas Naughton, Seth Hitefield, Lawrence Sorrillo, Nageswara Rao, James Kohl, Wael Elwasif, Jean Christophe Bilheux, Hassina Bilheux, Swen Boehm, Jason Kincl, Satyabrata Sen, Neena Imam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

There is an unprecedented promise of enhanced capabilities for federations of leadership computing systems and experimental science facilities by leveraging software technologies for fast and efficient operations. These federations seek to unify different science instruments, both computing and experimental, to effectively support science users and operators to execute complex workflows. The FedScI project addresses the software challenges associated with the formation and operation of federated environments by leveraging recent advances in containerization of software and softwarization of hardware. We propose a software framework to streamline the federation usage by science users and it’s provisioning and operations by facility providers. A distinguishing element of our work is the support for improved interaction between experimental devices, such as beam-line instruments, and more traditional highperformance computing resources, including compute, network, storage systems. We present guiding principles for the software framework and highlight portions of a current prototype implementation. We describe our science use case involving neutron imaging beam-lines (SNAP/BL-3, Imaging/CG-1D) at the Spallation Neutron Source and High Flux Isotope Reactor facilities at Oak Ridge National Laboratory. Additionally, we detail plans for a more direct instrument interaction within a federated environment, which could enable more advanced workflows with feedback loops to shorten the time to science.

Original languageEnglish
Title of host publicationDriving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Revised Selected Papers
EditorsJeffrey Nichols, Arthur ‘Barney’ Maccabe, Suzanne Parete-Koon, Becky Verastegui, Oscar Hernandez, Theresa Ahearn
PublisherSpringer Science and Business Media Deutschland GmbH
Pages189-203
Number of pages15
ISBN (Print)9783030633929
DOIs
StatePublished - 2021
Event17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020 - Virtual, Online
Duration: Aug 26 2020Aug 28 2020

Publication series

NameCommunications in Computer and Information Science
Volume1315 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020
CityVirtual, Online
Period08/26/2008/28/20

Funding

Acknowledgements. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. This research is support by the ORNL Laboratory Directed Research & Development program.

FundersFunder number
U.S. Department of EnergyDE-AC05-00OR22725
Office of Science
Oak Ridge National Laboratory

    Keywords

    • Federation
    • Science instruments
    • Software stack

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